bibrahim/unikserverless_jan16 huggingface dataset:
MATH 2260 Ordinary Differential Equations I
introduces first and second order differential equations, systems of first order differential equations and Laplace transforms. These will be studied with both analytic techniques as well as using a computer algebra system to generate symbolic and numerical solutions. Applications include oscillatory motion and population and epidemic models.
CR: the former MATH 3260
PR: MATH 2000
 
MATH 2320 Discrete Mathematics
covers basic concepts of mathematical reasoning: logic and quantifiers, methods of proof, sets and set operations, functions and relations, equivalence relations and partial orders, countable and uncountable sets. These concepts will be illustrated through the congruence and divisibility of integers, induction and recursion, principles of counting, permutations and combinations, the Binomial Theorem, and elementary probability.
CR: the former Computer Science 2740, Electrical and Computer Engineering 4110, the former Engineering 3422, the former Engineering 4424
PR: MATH 1001 or 2050
 
MATH 2330 Euclidean Geometry
is an introduction to Euclidean geometry of the plane. It covers the geometry of triangles and circles, including results such as the Euler line, the nine-point circle and Ceva’s theorem. It also includes straight-edge and compass constructions, isometries of the plane, the three reflections theorem, and inversions on circles.
CR: the former MATH 3330
PR: MATH 2051 or 2320
 
MATH 3000 Real Analysis I
covers the structure of the real numbers, sequences and limits, compactness, continuity, uniform continuity, differentiation, and the Mean Value Theorem.
CR: the former MATH 2001
LH: 1.5
PR: MATH 2000 and 2320
 
MATH 3001 Real Analysis II
examines Infinite series of constants, sequences and series of functions, uniform convergence and its consequences, power series, Taylor series, Weierstrass Approximation Theorem.
CR: the former MATH 3201
LH: 1
PR: MATH 3000
 
MATH 3100 Introduction to Dynamical Systems
examines flows, stability, phase plane analysis, limit cycles, bifurcations, chaos, attractors, maps, fractals. Applications throughout.
CR: the former AMAT 3190
PR: MATH 2260 (or the former MATH 3260)
 
MATH 3111 Applied Complex Analysis
examines mapping by elementary functions, conformal mapping, applications of conformal mapping, Schwartz-Christoffel transformation, Poisson integral formula, poles and zeros, Laplace transforms and stability of systems, analytic continuation.
PR: MATH 3210
 
MATH 3132 Numerical Analysis I
includes a discussion of round-off error, the solution of linear systems, iterative methods for nonlinear equations, interpolation and polynomial approximation, least squares approximation, fast Fourier transform, numerical differentiation and integration, and numerical methods for initial value problems.
CR: Computer Science 3731
LH: 1.5
PR: MATH 2000, MATH 2050, and a computing course (Computer Science 1510 is recommended)
includes a discussion of round-off error, the solution of linear systems, iterative methods for nonlinear equations, interpolation and polynomial approximation, least squares approximation, fast Fourier transform, numerical differentiation and integration, and numerical methods for initial value problems.
CR: Computer Science 3731
LH: 1.5
PR: MATH 2000, MATH 2050, and a computing course (Computer Science 1510 is recommended)
 
MATH 3161 Ordinary Differential Equations II
examines power series solutions, method of Frobenius, Bessel functions, Legendre polynomials and others from classical Physics, systems of linear first order equations, fundamental matrix solution, existence and uniqueness of solutions, and advanced topics in ordinary differential equations.
PR: MATH 2260 (or the former MATH 3260) and 3202
 
MATH 3202 Vector Calculus
deals with functions of several variables, Lagrange multipliers, vector valued functions, directional derivatives, gradient, divergence, curl, transformations, Jacobians, inverse and implicit function theorems, multiple integration including change of variables using polar, cylindrical and spherical co-ordinates, Green's theorem, Stokes' theorem, divergence theorem, line integrals, arc length.
CR: Physics 3810
PR: MATH 2000 and 2050
 
MATH 3210 Introduction to Complex Analysis
examines complex numbers, analytic functions of a complex variable, differentiation of complex functions and the Cauchy-Riemann equations, complex integration, Cauchy's theorem, Taylor and Laurent series, residue theory and applications.
PR: MATH 3000
 
MATH 3240 Applied Graph Theory
examines algorithms and complexity, definitions and basic properties of graphs, Eulerian and Hamiltonian chains, shortest path problems, graph colouring, planarity, trees, network flows, with emphasis on applications including scheduling problems, tournaments, and facilities design.
CR: the former Computer Science 2741
PR: MATH 2320
 
MATH 3300 Set Theory
is an introduction to Mathematical Logic, functions, equivalence relations, equipotence of sets, finite and infinite sets, countable and uncountable sets, Cantor's Theorem, Schroeder-Bernstein Theorem, ordered sets, introduction to cardinal and ordinal numbers, logical paradoxes, the axiom of choice.
PR: MATH 2320
 
MATH 3303 Introductory Geometric Topology
covers graphs and the four colour problem, orientable and non-orientable surfaces, triangulation, Euler characteristic, classification and colouring of compact surfaces, basic point-set topology, the fundamental group, including the fundamental groups of surfaces, knots, and the Wirtinger presentation of the knot group.
PR: MATH 2320
 
MATH 3320 Abstract Algebra
is an introduction to groups and group homomorphisms including cyclic groups, cosets, Lagrange's theorem, normal subgroups and quotient groups, introduction to rings and ring homomorphisms including ideals, prime and maximal ideals, quotient rings, integral domains and fields.
PR: MATH 2320
 
MATH 3321 Applied Algebra
- inactive course.
 
MATH 3331 Projective Geometry
MATH 3320 Abstract Algebra
is an introduction to groups and group homomorphisms including cyclic groups, cosets, Lagrange's theorem, normal subgroups and quotient groups, introduction to rings and ring homomorphisms including ideals, prime and maximal ideals, quotient rings, integral domains and fields.
PR: MATH 2320
 
MATH 3321 Applied Algebra
- inactive course.
 
MATH 3331 Projective Geometry
includes course topics: projective space, the principle of duality, mappings in projective space, conics and quadrics.
PR: MATH 2051
 
MATH 3340 Introductory Combinatorics
includes topics: distributions, the binomial and multinomial theorems, Stirling numbers, recurrence relations, generating functions and the inclusion-exclusion principle. Emphasis will be on applications.
PR: MATH 2320
 
MATH 3370 Introductory Number Theory
examines perfect numbers and primes, divisibility, Euclidean algorithm, greatest common divisors, primes and the unique factorization theorem, congruences, cryptography (secrecy systems), Euler-Fermat theorems, power residues, primitive roots, arithmetic functions, Diophantine equations, topics above in the setting of the Gaussian integers.
PR: MATH 2320
 
MATH 4000 Lebesgue Integration
includes a review of the Riemann integral, functions of bounded variation, null sets and Lebesgue measure, the Cantor set, measurable sets and functions, the Lebesgue integral in R1 and R2, Fatou's lemma, Monotone and Dominated Convergence Theorems, Fubini's Theorem, an introduction to Lebesgue-Stieltjes measure and integration.
CR: the former Pure Mathematics 4400
PR: MATH 3001
 
MATH 4001 Functional Analysis
includes metric and normed spaces, completeness, examples of Banach spaces and complete metric spaces, bounded linear operators and their spectra, bounded linear functionals and conjugate spaces, the fundamental theorems for Banach spaces including the Hahn–Banach Theorem, topology including weak and weak* topologies, introduction to Hilbert spaces.
CR: the former Pure Mathematics 4302
PR: MATH 3001
 
MATH 4100 Applied Functional Analysis
- inactive course.
 
MATH 4102 Stochastic Methods in Applied Mathematics
- inactive course.
 
MATH 4130 Introduction to General Relativity
studies both the mathematical structure and physical content of Einstein’s theory of gravity. Topics include the geometric formulation of special relativity, curved spacetimes, metrics, geodesics, causal structure, gravity as spacetime curvature, the weak-field limit, geometry outside a spherical star, Schwarzschild and Kerr black holes, Robertson-Walker cosmologies, gravitational waves, an instruction to tensor calculus, Einstein’s equations, and the stress-energy tensor.
CO: MATH 4230
EQ: Physics 4220
PR: MATH 3202 and one of Physics 3220 or MATH 4230 or permission of the Head of Department.
 
MATH 4131 Numerical Linear Algebra
- inactive course.
CO: MATH 4230
EQ: Physics 4220
PR: MATH 3202 and one of Physics 3220 or MATH 4230 or permission of the Head of Department.
 
MATH 4131 Numerical Linear Algebra
- inactive course.
 
MATH 4132 Introduction to Optimization
- inactive course.
 
MATH 4133 Numerical Optimization
is numerical methods for functions of one variable, for functions of several variables including unrestricted search, sequential uniform search, irregular search, non-gradient methods, gradient methods with and without constraints, geometric programming, selection of other topics from dynamic programming, integer programming, etc., solution of applied problems by numerical optimization.
PR: MATH 3132
 
MATH 4140 Introduction to Mathematical Control Theory
- inactive course.
 
MATH 4160 Partial Differential Equations I
covers two point boundary value problems, Fourier series, Sturm-Liouville theory, canonical forms, classification and solution of linear second order partial differential equations in two independent variables, separation of variable, integral transform methods.
PR: MATH 2260 (or the former MATH 3260) and 3202
 
MATH 4161 Integral Equations
- inactive course.
 
MATH 4162 Numerical Methods for Differential Equations
covers numerical solution of initial value problems for ordinary differential equations by single and multi-step methods, Runge-Kutta, and predictor-corrector; numerical solution of boundary value problems for ordinary differential equations by shooting methods, finite differences and spectral methods; numerical solution of partial differential equations by the method of lines, finite differences, finite volumes and finite elements.
PR: MATH 3132 and 4160
 
MATH 4170 Partial Differential Equations II
covers first order equations, Cauchy problems, Cauchy-Kowalewska theorem, second order equations, canonical forms, wave equations in higher dimensions, method of spherical means, Duhamel's principle, potential equation, Dirichlet and Neuman problem, Green's function and fundamental solution, potential theory, heat equation, Riemann's method of integration, method of plane and Riemann waves for systems of PDEs of the first order.
PR: MATH 4160
 
MATH 4180 Introduction to Fluid Dynamics
covers basic observations, mass conservation, vorticity, stress, hydrostatics, rate of strain, momentum conservation (Navier-Stokes equation), simple viscous and inviscid flows, Reynolds number, boundary layers, Bernoulli's and Kelvin's theorems, potential flows, water waves, thermodynamics.
CR: ONAE 4020
EQ: Physics 4205
PR: MATH 2260 (or the former MATH 3260) and 3202
 
MATH 4190 Mathematical Modelling
is intended to develop students' skills in mathematical modelling and competence in oral and written presentations. Case studies in modelling will be analysed. Students will develop a mathematical model and present it in both oral and report form.
CR: MATH 4191
PR: MATH 3100, 3161, 4160, and a technical writing course offered by a Science department (MATH 2130 is recommended).
MATH 4190 Mathematical Modelling
is intended to develop students' skills in mathematical modelling and competence in oral and written presentations. Case studies in modelling will be analysed. Students will develop a mathematical model and present it in both oral and report form.
CR: MATH 4191
PR: MATH 3100, 3161, 4160, and a technical writing course offered by a Science department (MATH 2130 is recommended).
 
MATH 419A and 419B Applied Mathematics Honours Project
is a two-semester course that requires the student, with supervision by a member of the Department, to prepare a dissertation in an area of Applied Mathematics. In addition to a written project, a one hour presentation will be given by the student at the end of the second semester.
CH: 6
CR: the former AMAT 4199
PR: registration in an Honours or Joint Honours program in Applied Mathematics.
 
MATH 4230 Differential Geometry
covers both classical and modern differential geometry. It begins with the classical theory of curves and surfaces, including the Frenet-Serret relations, the fundamental theorem of space curves, curves on surfaces, the metric, the extrinsic curvature operator and Gaussian curvature. The modern section studies differentiable manifolds, tangent vectors as directional derivatives, one-forms and other tensors, the metric tensor, geodesics, connections and parallel transport, Riemann curvature and the Gauss-Codazzi equations.
PR: MATH 3202
 
MATH 4240 Differential and Integral Calculus on Manifolds
- inactive course.
 
MATH 4250 Reinforcement Learning
considers a mathematical framework in which an agent (such as a person or a robot) learns which actions to take in an environment in order to maximize a specific reward signal. The course provides an introduction to reinforcement learning, including tabular solution methods, dynamic programming, Monte Carlo methods, temporal-difference learning, planning methods and approximate solution methods.
PR: MATH 2051, MATH 3132, Statistics 2550
 
MATH 4252 Quantum Information and Computing
covers postulates of quantum mechanics, matrix theory, density matrices, qubits, qubit registers, entanglement, quantum gates, superdense coding, quantum teleportation, quantum algorithms, open systems, decoherence, physical realization of quantum computers.
EQ: Physics 4852
PR: MATH 2051 or Physics 3820
 
MATH 4280-4289 Special Topics in Pure and Applied Mathematics
will have the topics to be studied announced by the Department. Consult the Department for a list of titles and information regarding availability.
PR: permission of the Head of the Department
 
MATH 4300 General Topology
is an introduction to point-set topology, centering on the notions of the topological space and the continuous function. Topological properties such as Hausdorff, compactness, connectedness, normality, regularity and path-connectedness are examined, as are Urysohn’s metrization theorem and the Tychonoff theorem.
PR: MATH 3300 or 3000
 
MATH 4301 Algebraic Topology
- inactive course.
PR: MATH 3300 or 3000
 
MATH 4301 Algebraic Topology
- inactive course.
 
MATH 4310 Complex Function Theory
examines topology of C, analytic functions, Cauchy's theorem with proof, Cauchy integral formula, singularities, argument principle, Rouche's theorem, maximum modulus principle, Schwarz's lemma, harmonic functions, Poisson integral formula, analytic continuation, entire functions, gamma function, Riemann-Zeta function, conformal mapping.
PR: MATH 3210
 
MATH 4320 Ring Theory
examines factorization in integral domains, structure of finitely generated modules over a principal ideal domain with application to Abelian groups, nilpotent ideals and idempotents, chain conditions, the Wedderburn-Artin theorem.
PR: MATH 3320
 
MATH 4321 Group Theory
examines permutation groups, Sylow theorems, normal series, solvable groups, solvability of polynomials by radicals, introduction to group representations.
PR: MATH 3320
 
MATH 4331 Galois Theory
covers irreducible polynomials, field extensions, Galois groups, and the solution of equations by radicals.
PR: MATH 2051 and MATH 3320
 
MATH 4340 Combinatorial Analysis
continues most of the topics started in 3340 with further work on distributions, recurrence relations and generating functions. Generating functions are used to solve recurrence relations in two variables. Also included is a study of Polya's theorem with applications.
PR: MATH 2000 and 3340
 
MATH 4341 Combinatorial Designs
includes the study of finite fields, Latin squares, finite projective planes and balanced incomplete block designs.
PR: MATH 3320 or 3340
 
MATH 4370 Number Theory
is continued fractions, an introduction to Diophantine approximations, selected Diophantine equations, the Dirichlet product of arithmetic functions, the quadratic reciprocity law, and factorization in quadratic domains.
PR: MATH 3370
 
MATH 4375 History of Mathematics
- inactive course.
 
MATH 439A and 439B Pure Mathematics Honours Project
is a two-semester course that requires the student, with supervision by a member of the Department, to prepare a dissertation in an area of Pure Mathematics. Although original research by the student will not normally be expected, the student must show an ability and interest to learn and organize material independently. A one-hour presentation will be given by the student at the end of the second semester.
CH: 6
CR: the former MATH 4399
PR: registration in an Honours or Joint Honours program in Pure Mathematics
PR: 3 credit hours in Mathematics or Statistics courses, or a combination of placement test and high school Mathematics scores acceptable to the Department
 
STAT 2501 Further Statistics for Business and Arts Students
covers power calculation and sample size determination, analysis of variance, multiple regression, nonparametric statistics, time series analysis, introduction to sampling techniques.
CR: STAT 2560, Psychology 2911, 2950, and the former 2901
LH: one 90 minute lab per week. Statistical computer package will be used in the laboratory.
PR: STAT 2500 or the former 2510
 
STAT 2550 Statistics for Science Students
is an introduction to basic statistics methods with an emphasis on applications to the sciences. Material includes descriptive statistics, elementary probability, binomial distribution, Poisson distribution, normal distribution, sampling distribution, estimation and hypothesis testing (both one and two sample cases), chi-square test, one way analysis of variance, correlation and simple linear regression.
CR: Engineering 4421, STAT 2500, the former STAT 2510, Psychology 2910, Psychology 2925, and the former Psychology 2900
LH: one 90 minute lab per week. Statistical computer package will be used in the laboratory, but no prior computing experience is assumed.
PR: Mathematics 1000 or the former 1081
 
STAT 2560 Further Statistics for Science Students
covers estimation and hypothesis testing in the two-sample and paired sample cases, one way and two way analysis of variance, simple and multiple linear regression, chi-square tests, non-parametric tests including sign test, Wilcoxon signed rank test and Wilcoxon rank test.
CR: STAT 2501, Psychology 2911, 2950, and the former 2901
EQ: the former STAT 2511
LH: one 90 minute lab per week. Statistical computer packages will be used in the laboratory, but no prior computing experienced is assumed.
PR: STAT 2500 or 2550, Mathematics 1000
 
STAT 3411 Statistical Inference I
examines sampling distributions, order statistics, confidence interval, hypotheses testing, chi-square tests, maximum likelihood estimation, maximum likelihood estimation, Rao-Cramér inequality and efficiency, maximum likelihood tests, sufficiency, completeness and uniqueness, exponential class of distributions, likelihood ratio test and Neyman-Pearson lemma.
OR: one and a half hour tutorial period weekly
PR: STAT 2410 or 3410
 
STAT 3520 Experimental Design I
is an introduction to basic concepts in experimental design, including principles of experimentation; single factor designs such as completely randomized designs; randomized block designs; Latin square designs; Graeco Latin square designs; multiple comparison tests; analysis of covariance; balanced incomplete block designs; factorial designs; fixed, random and mixed effects models.
CR: Psychology 3900 and 3950
PR: Mathematics 2050 and either STAT 3411 or both Mathematics 1001 and one of STAT 2501 or 2560 or the former 2511
 
STAT 3521 Regression
STAT 4410 Statistical Inference II
covers decision theory, uniformly minimum variance estimators, sufficiency and completeness, likelihood theory and maximum likelihood estimation, other estimation methods including best linear unbiased estimation, estimating equations and Bayesian estimation, hypothesis testing and interval estimation, and applications of statistical inference methods under regression models and analysis of variance models.
PR: Mathematics 2051, STAT 3411
 
STAT 4504 Biostatistics
provides an overview of statistical principles and methods in epidemiology. Emphasis will be placed on study designs, measures of risk and disease-exposure association, inference for measures of association, confounding, causal inference, analysis of binary responses, count, and time-to-event.
PR: STAT 2550 and STAT 3411
 
STAT 4520 Experimental Design II
is an introduction to factorial experiments including mixed effects models, unbalanced data in factorial designs, two level and three level factorial experiments, blocking and confounding in factorial designs, fractional factorial experiments, unreplicated factorial experiments, response surface designs, robust parameter designs, nested and split plot designs.
PR: STAT 3520
 
STAT 4530 Survey Sampling
covers basic concepts, simple random sampling, unequal probability sampling and the Horvitz-Thompson principle, sufficiency, design and modelling in sampling, ratio and regression estimators, stratified and cluster sampling, methods for elusive and/or hard- to-detect populations.
PR: STAT 3411
 
STAT 4540 Time Series
examines the analysis of time series in the time domain and is an introduction to frequency domain analysis. Topics covered include integrated ARMA processes, seasonal time series models, intervention analysis and outlier detection, transfer function models, time series regression and GARCH models, vector time series models, state space models and the Kalman Filter. Spectral decomposition of a time series is introduced. Emphasis is on applications and examples with a statistical software package.
PR: STAT 3411 and 3540
 
STAT 4550 Non-parametric Statistics
covers inferences concerning location based on one sample, paired samples or two samples, inferences concerning scale parameters, goodness-of-fit tests, association analysis, tests for randomness.
PR: one of STAT 3520 or 3521 or STAT 3411
 
STAT 4560 Continuous Multivariate Analysis
examines the multivariate normal distribution and its marginal and conditional distributions, distributions of non-singular and singular linear combinations, outline of the Wishart distribution and its application, in particular, to Hotelling’s T-squared statistic for the mean vector, connection between likelihood ratio and Hotelling’s T- squared statistics, a selection of techniques chosen from among MANOVA, multivariate regression, principal components, factor analysis, discrimination and classification, clustering.
PR: Mathematics 2051, STAT 2410 or 3410, and one of STAT 3411, 3520, or 3521
 
STAT 4561 Categorical Data Analysis
PR: Mathematics 2051, STAT 2410 or 3410, and one of STAT 3411, 3520, or 3521
 
STAT 4561 Categorical Data Analysis
is an analysis of cross-classified categorical data with or without explanatory variables, chi-square test, measures of association, multidimensional contingency tables, hypotheses of partial and conditional independence, log-linear models for Poisson, multinomial and product-multinomial sampling schemes, concept of ordinal categorical models, logit models, likelihood estimation, selection of suitable log-linear and logit models.
PR: STAT 3520 or 3521
 
STAT 4581 Quantitative Methods in Biology
- inactive course.
 
STAT 4590 Statistical Analysis of Data I
examines the statistical analysis of real life univariate data using computational and statistical methods including descriptive statistics, chi-square tests, non-parametric tests, analysis of variance, linear, logistic and log-linear regressions. Other statistical techniques such as integrated autoregressive moving average modelling and forecasting or quality control methods may be introduced depending on the nature of the data.
LH: one 90 minute lab per week
PR: one of STAT 3520, 3521 or 3540
 
STAT 459A and 459B Statistics Honours Project
is a two-semester course that requires the student, with supervision by a member of the Department, to prepare a dissertation in an area of Statistics. In addition to a written project, a presentation will be given by the student at the end of the second semester.
CH: 6
CR: the former STAT 4599
PR: registration in an Honours or Joint Honours program in Statistics
Biology at Memorial University of Newfoundland

**Entrance Requirements:**
-Requirements:
Biology 1001/1002 with an average of at least 65%
minimum overall average of 60%
-Required Courses:
Six credit hours in Critical Reading and Writing (CRW) courses, including at least 3 credit hours in English courses.

Mathematics 1090 and Mathematics 1000 (or Mathematics 109A/B and Mathematics 1000, or Mathematics 1000 only)

Chemistry 1050 and 1051 (or 1200 and 1001, or 1010 and the former 1011) (or Physics 1020/1021 (or equivalent)

If Mathematics 1000 taken, any one other first year course.

**Minor in Biology:**
-Required Courses:
24 credit hours in Biology courses: 1001 and 1002 (or equivalent) plus any 18 credit hours chosen from the list of Biology courses except Biology 2040, 2041, 2120, 3053, and 3820. 

**Major in Biology:**
-Required Courses:
Six credit hours in Critical Reading and Writing (CRW) courses, including at least 3 credit hours in English courses

Physics 1020 and 1021 (or equivalent)

Mathematics 1000

Chemistry 1050 and 1051 (or 1200 and 1001, or 1010 and the former 1011), and Chemistry 2400

Statistics 2550 or any of the courses listed in the credit restrictions of Statistics 2550

Human Biosciences 2001 or the former Biochemistry 2101 or 2201, and Human Biosciences 2003 or the former Biochemistry 3106 or 3206

Extra Science courses as necessary to fulfil the requirement for 78 credit hours in Science as stipulated under

**Major in Biology (Co-operative) Program (BCOP)
-Requirements:
Admission is limited, competitive, and selective.

The primary criteria used in reaching decisions on applications for admission are motivation and overall academic achievement. Students may be required to participate in an interview as part of the selection process.

A student must first be admitted to the Biology Major.

Application deadline: October 15 for the following Spring semester work term (normally the third semester in year two).

To be eligible for admission, a student must have completed the second year Biology Core, with an overall average of at least 65%, and an overall average of at least 65% in all Biology courses before the start of the first work term. A student must have an overall average of 65% in all other required courses, and must be registered as a full- time student in the semester in which application is made.

-Program of Study:
In addition to the requirements below, a student must fulfill all requirements for a Major in Biology or Honours in Biology.
Evaluation of the work term assignment(s) will result in one of the following classifications: OUTSTANDING, ABOVE EXPECTATIONS, SATISFACTORY, MARGINAL PASS, FAIL.

 The evaluation of the job performance and the assignment(s) are recorded separately on the transcript. Overall evaluation of the work term will result in one of the following final grades being awarded:

Pass with Distinction: Indicates OUTSTANDING PERFORMANCE in both the assignment(s) and the job performance.

Pass: Indicates that PERFORMANCE MEETS EXPECTATIONS in both the assignment(s) and the job performance.

Fail: Indicates FAILING PERFORMANCE in the assignment(s) or the job performance, or both. To remain in BCOP, a student must obtain a final grade of Pass or higher.

If a student fails to achieve the Work Term standards specified above, the student will be required to withdraw from BCOP. Such a student may reapply to the program, at which time the student will be required to repeat the Work Term with satisfactory performance. Only one Work Term may be repeated in the entire program.

A student who withdraws from a Work Term without acceptable cause subsequent to a job placement will be required to withdraw permanently from BCOP.

A student who drops a Work Term without prior approval from both Co-operative Education and the Biology Co-op Liaison, or who fails to honour an agreement to work with an employer, or who conducts in such a manner as to cause the discharge from the job, will be awarded an overall grade of FAIL for the Work Term in question and will be required to withdraw permanently from BCOP.

Permission to drop a Work Term does not constitute a waiver of degree requirements, and a student who has obtained such permission must successfully complete an approved Work Term in lieu of the one dropped.

 **Honors in Biology:**
-Requirements:
Biology 1001 and 1002 or their equivalents;

15 credit hours in the following core courses: Biology 2060, 2250, 2600, 2900, plus one of Biology 3401, 3402, or 4404; and

42 credit hours from Biology electives at the 2000, 3000 or 4000 level (except Biology 2040, 2041, 2120, 3053, and 3820) and Biology 499A and 499B.

A maximum of half of all Biology electives can be Biology courses with no associated laboratory/seminar (i.e., courses that have 3 contact hours/week).
-Core Course Requirements:
Six credit hours in Critical Reading and Writing (CRW) courses, including at least 3 credit hours in English courses.

Physics 1020 and 1021 (or equivalent)

Mathematics 1000

Chemistry 1050 and 1051 (or 1200 and 1001, or 1010 and the former 1011), and Chemistry 2400

Statistics 2550 or any of the courses listed in the credit restrictions of Statistics 2550

Human Biosciences 2001 or the former Biochemistry 2101 or 2201, Human Biosciences 2003 or the former Biochemistry 3106 or 3206

Electives to make up 120 credit hours
Statistics 2550 or any of the courses listed in the credit restrictions of Statistics 2550

Human Biosciences 2001 or the former Biochemistry 2101 or 2201, Human Biosciences 2003 or the former Biochemistry 3106 or 3206

Electives to make up 120 credit hours

**Applied Ecology and Conservation:**
-Required Courses:
Biology 3610, 3650, 4122, 4306, 4307, 4360, 4405, 4605, 4650, 4651, 4710, 4810, 4820, 4911

**Aquatic Life:**
-Required Courses:
Biology 3014, 3050, 3630, 3709, 3710, 3711, 3712, 3714, 3715, 4122, 4601, 4710, 4750, 4912

**Biological Tools and Techniques:**
-Required Courses:
Biology 3050, 3709, 3950, 3951, 4270, 4360, 4405, 4605, 4606, 4607, 4710, 4770, 4810, 4820

**Biology for Health Professions:**
-Required Courses:
Biology 3050, 3052, 3500, 3530, 4010, 4050, 4200, 4241, 4245, 4404, 4550, 4605

Medicine 310A/B

**Comparative Biology:**
-Required Courses:
Biology 3202, 3300, 3401, 3402, 3640, 3715, 3750, 4122, 4620, 4630, 4701, 4770, 4910

**Evolutionary Ecology:**
-Required Courses:
Biology 3295, 3715, 3811, 3951, 4005, 4250, 4270, 4505, 4605, 4620, 4630, 4701, 4710, 4800, 4910

**Molecular, Microbial, and Cell Biology:**
-Required Courses:
Biology 3050, 3052, 3401, 3402, 3530, 3950, 3951, 4050, 4052, 4241, 4250, 4251, 4404, 4606

Human Biosciences 3207 or the former Biochemistry 3207

**BIOL 1001 Principles of Biology**  
*Introduction to the science of Biology, including a discussion of the unity, diversity, and evolution of living organisms.*  
LH: 3  
PR: Science 1807 and Science 1808

**BIOL 1002 Principles of Biology**  
*Introduction to the science of Biology, including a discussion of the unity, diversity, and evolution of living organisms.*  
LH: 3  
PR: Science 1807 and Science 1808; BIOL 1001
**BIOL 1002 Principles of Biology**  
*Introduction to the science of Biology, including a discussion of the unity, diversity, and evolution of living organisms.*  
LH: 3  
PR: Science 1807 and Science 1808; BIOL 1001

**BIOL 2010 Biology of Plants**  
*Study of the structure, function, and reproductive biology of plants, with emphasis on vascular plants and their relationship to the environment and human activities.*  
LH: 3  
PR: Science 1807 and Science 1808; BIOL 1001 and 1002

**BIOL 2040 Modern Biology and Human Society I**  
*Examines aspects of the human body and implications of modern biological research for human beings. Topics include cancer, diet, nutrition, circulatory disease, immunity, human genetics, genetic engineering, and reproductive engineering.*  
UL: Not acceptable for Biology programs

**BIOL 2041 Modern Biology and Human Society II**  
*Examines the origins and consequences of the environmental crisis of the 20th century. Topics include population explosion, pollution, global food supplies, and environmental ethics.*  
UL: Not acceptable for Biology programs

**BIOL 2060 Principles of Cell Biology**  
*Modern view of the biology of eukaryotic cells, organelles, and molecules and their interactions in living organisms.*  
LH: 3  
PR: Science 1807 and Science 1808; BIOL 2250 or Human Biosciences 2004

**BIOL 2120 Biology for Students of Earth Sciences**  
*Introduction to Biology principles for Earth Sciences students. Includes classification, levels of biological organization, and basic concepts in ecology.*  
LH: 3  
PR: Science 1807 and Science 1808; Earth Science major; Earth Sciences 1001 or 1002

**BIOL 2122 Biology of Invertebrates**  
*Study of invertebrates with emphasis on structure, function, adaptations, and life histories.*  
LH: 3  
PR: Science 1807 and Science 1808; BIOL 1001, 1002

**BIOL 2210 Biology of Vertebrates**  
*Study of vertebrates, emphasizing structure, function, adaptations, and life histories.*  
LH: 3  
PR: Science 1807 and Science 1808; BIOL 1001, 1002

**BIOL 2250 Principles of Genetics**  
*Introduction to Mendelian and molecular genetics. Includes phenotype, genotype, chromosome theory, molecular biology of DNA, RNA, protein, and applications of genetic biotechnology.*  
LH: 3-hour labs alternating weekly with tutorials  
PR: Science 1807 and Science 1808; BIOL 1001 and 1002; Chemistry 1050

**BIOL 2600 Principles of Ecology**  
*Conceptual course introducing the principles of ecology, including theoretical, functional, and empirical approaches.*  
LH: 3  
PR: Science 1807 and Science 1808; BIOL 1001 and 1002 or BIOL 2120
**BIOL 2600 Principles of Ecology**  
*Conceptual course introducing the principles of ecology, including theoretical, functional, and empirical approaches.*  
LH: 3  
PR: Science 1807 and Science 1808; BIOL 1001 and 1002 or BIOL 2120

**BIOL 2900 Principles of Evolution and Systematics**  
*Introduction to processes and patterns of evolution, principles of classification. Covers natural selection, microevolution, adaptation, speciation, phylogenetic systematics, and macro-evolutionary patterns.*  
LH: 3  
PR: Science 1807 and Science 1808; BIOL 2250

**BIOL 3014 Biology and Ecology of Boreal and Arctic Seaweeds**  
*Field course examining seaweed biology and ecology. Special study of living specimens in various coastal sites, demonstrating physiological and ecological adaptations to cold-water habitats.*  
PR: Science 1807 and Science 1808; BIOL 2600 or equivalent

**BIOL 3050 Introduction to Microbiology**  
*Study of basic principles underlying microbial life. Includes structure, function, bioenergetics, growth, viruses, microbial diseases, immunology, and control of microorganisms.*  
LH: 3  
PR: Science 1807 and Science 1808; BIOL 2250; Biochemistry 2201

**BIOL 3052 Food Microbiology**  
*Study of microbiology of water and food. Emphasizes beneficial and detrimental roles of microorganisms in water and food systems.*  
LH: 3  
PR: Science 1807 and Science 1808; BIOL 3050

**BIOL 3053 Microbiology for Nurses**  
*Examines fundamentals of microbiology with emphasis on medical microbiology. Includes host responses to infections, human diseases caused by microorganisms, and control of microorganisms.*  
LH: 2  
PR: Science 1807 and Science 1808; Nursing program students

Certainly! Here's the information about the additional courses you provided:

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**BIOL 4720 Corals and Coral Reefs**  
*An advanced course in the science and management of corals and coral reefs, including cold-water corals. Topics include basic coral biology, coral reef geomorphology, optical and acoustic remote sensing of corals and reefs, reef fish and fisheries, reefs and climate change, pollution effects on corals and coral reefs, reef conservation, social, cultural, and economic aspects of reef management.*  
CR: Geography 4917  
PR: Two of BIOL 2600, 3650, 3709, 3710, 3711, or 3714, or permission of the instructor

**BIOL 4750 Fisheries Ecology**  
*Application of ecological principles to the problem of managing exploited fish populations. Laboratory exercises based on a simulation approach to fisheries problems using computer and animal models.*  
LH: 3  
PR: BIOL 2600
**BIOL 4750 Fisheries Ecology**  
*Application of ecological principles to the problem of managing exploited fish populations. Laboratory exercises based on a simulation approach to fisheries problems using computer and animal models.*  
LH: 3  
PR: BIOL 2600

**BIOL 4770 Research Experience in Animal Behaviour**  
*Allows students to gain research experience in selected areas of animal behavior. This course may be offered in a usual 12-week semester or as a two-week field course.*  
EQ: Psychology 4770  
LC: Either three hours of lecture per week or a two-week field course that embodies equivalent instructional time  
PR: BIOL 3750 or Psychology 3750

**BIOL 4800 Advanced Palaeontology**  
*Field, lecture, laboratory, and seminar course dealing with selected topics in general and applied paleontology. Topics include measuring evolution and extinction, population paleontology, functional morphology, paleoecology, statistical methods for paleontological studies, and applications in petroleum, mining, and environmental studies. Taught and administered by the Department of Earth Sciences.*  
EQ: Earth Sciences 4800  
LH: 3  
PR: Earth Sciences/BIOL 3811, and one of Statistics 2550 or any of the courses listed in the credit restrictions of Statistics 2550 or Mathematics 2000

**BIOL 4810 Research Field Course in Marine Biology**  
*Consists of an intensive two-week field school designed to acquaint students with marine field research, experimental design, methodology, and data analysis. Emphasis on individual projects. Projects must be designed and approved prior to the commencement of the course and will involve a written report.*  
PR: Science 1807 and Science 1808; BIOL 3710 and any two of BIOL 2010, 2122 or 2210, and permission of the Head of the Department. It is strongly recommended that students take BIOL 3709 before 4810.

**BIOL 4820 Field Course in Terrestrial Biology**  
*Begins with a three-week field school immediately prior to the beginning of the Fall Semester. Designed to acquaint students with terrestrial organisms and environments, with emphasis on survey and sampling techniques. In the Fall Semester, material and data collected in the field will be used in lecture and laboratory periods dealing with identification, analytical methods, and report compilation.*  
PR: Science 1807 and Science 1808; BIOL 2010, 2122, 2210, 2600 and permission of the Head of the Department. It is recommended that students successfully complete BIOL 4605.

**BIOL 4910-4920 Special Topics in Biology**  
*Given for senior undergraduates in a two-week format involving equivalent instruction time as a course on campus. Covers a range of topics in specialized fields in Biology and may be offered at the Bonne Bay Field Station, at the Harlow campus, or elsewhere as appropriate. May be taught by visiting specialists when available.*

**BIOL 499A and 499B Honours Dissertation**  
*Available only to students in the Honours Program. Requirements for the Dissertation are outlined under Honours Degrees.*  
PR: Admission to the Honours Program

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**Work Term Descriptions**
**BIOL 499A and 499B Honours Dissertation**  
*Available only to students in the Honours Program. Requirements for the Dissertation are outlined under Honours Degrees.*  
PR: Admission to the Honours Program

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**Work Term Descriptions**

**BIOL 199W Work Term I**  
*Follows the successful completion of Semester 4. Students are expected to learn, develop, and practice the high standards of behavior and performance normally expected in the work environment. Students will observe, apply, analyze, and/or evaluate concepts from biology courses in the workplace and further their understanding of the principles of biology and how they are applied in a professional setting.*  
CH: 0  
LC: 0  
PR: Admission to the Biology Major and successful completion of Semester 4

**BIOL 299W Work Term II**  
*Follows the successful completion of Semester 6. Students are expected to further develop and expand their knowledge and work-related skills and should be able to accept increased responsibility and challenge. In addition, students are expected to demonstrate an ability to deal with increasingly complex work-related concepts and problems. Students will continue to observe, apply, analyze, and/or evaluate concepts from biology courses in the workplace and continue to further their understanding of the principles of biology and how they are applied in a professional setting. Students are required to complete one or more assignments, as outlined in the syllabus.*  
CH: 0  
LC: 0  
PR: BIOL 199W

**BIOL 399W Work Term III**  
*Follows the successful completion of Semester 7 or Work Term II. Students will have sufficient academic grounding and work experience to contribute in a positive manner to the problem-solving and management processes needed and practiced in the work environment. Students should become better acquainted with their discipline of study, should observe and appreciate the attitudes, responsibilities, and ethics normally expected of professionals, and should exercise greater independence and responsibility in their assigned work functions.*  
CH: 0  
LC: 0  
PR: BIOL 299W
Faculty Description
The Faculty of Science encompasses nine academic departments: Biochemistry, Biology, Chemistry, Computer Science, Earth Sciences, Mathematics and Statistics, Ocean Sciences, Physics and Physical Oceanography, and Psychology. Departments offer programs leading to general and honours degrees. A number of specialized and joint programs are also offered, as well as Bachelor of Science degree programs delivered by the Departments of Geography and Economics. Selected students can complete the first two years of Acadia University's Bachelor of Science in Nutrition (Dietetics option) at Memorial University of Newfoundland. In addition to educational programs, research is a most important aspect of the Faculty of Science. As such, the Faculty is in a position to generate new knowledge by the pursuit of high-quality research and to foster economic development through cooperative research and technology transfer with the private sector. The Faculty of Science is the scientific training ground for all undergraduates at the University. Memorial University of Newfoundland's science graduates are in demand by science-based industries throughout the country. Our Faculty excels in research and in its commitment to effective teaching and delivery of quality educational programs.

Additional information regarding the Faculty of Science is available at www.mun.ca/science.
Information regarding the Centre for Earth Resources Research (CERR) and the Ocean Sciences Centre (OSC) is available at www.mun.ca/earthsciences and www.mun.ca/osc, respectively.

For information regarding fees and charges, see the Financial and Administrative Services website at www.mun.ca/finance/fees/.

For information regarding scholarships, bursaries and awards, see www.mun.ca/scholarships/scholarships.

A Major or a Minor consists, in part, of an approved concentration of courses in a single subject area, known respectively as the Major subject or Minor subject. These subject areas may include: Biology, Chemistry, Computer Science, Earth Sciences, Economics, Geography, Human Biosciences, Mathematics and Statistics, Ocean Sciences, Physics, or Psychology.
Biochemistry in Memorial University of Newfoundland	

www.mun.ca/biochem
The following undergraduate programs were formerly offered in the Department:
Biochemistry and Cell Biology Joint Honours

Biochemistry and Chemistry Joint Honours

Biochemistry and Physics Joint Honours

Biochemistry and Psychology (Behavioural Neuroscience) Joint Honours

Biochemistry (Nutrition) and Psychology (Behavioural Neuroscience) Joint Honours

Major or Honours in Biochemistry

Major or Honours in Nutrition

Minor in Biochemistry

**Admission to Major in Biochemistry**
-Required Courses:
Six credit hours in Critical Reading and Writing (CRW) courses, including at least 3 credit hours in English courses.

Chemistry 1050 and 1051 (or 1200 and 1001)

Mathematics 1000, 1001 (or Mathematics 1090, 1000, or Mathematics 109A/B, 1000)

Physics 1050 (or 1020), 1051 (or 1021), or Biology 1001, 1002

**Admission to the Honours Degree in Biochemistry**
-Requirements:
at least 70% in each of Biochemistry 2200 (or the former 2100) and Biochemistry 2201 (or the former 2101) and Chemistry 2400, 2401.

** Admission to the Major in Nutrition**
-Required Course:
Six credit hours in Critical Reading and Writing (CRW) courses, including at least 3 credit hours in English courses.

Chemistry 1050, 1051 (or Chemistry 1010, 1050 or Chemistry 1200, 1001)

Mathematics 1090, 1000 (or Mathematics 109A/B, 1000, or Mathematics 1000 and one elective)

Biology 1001, 1002 or Physics 1020, 1021 (or 1050 1051)

**Admission to the Honours Degree in Biochemistry (Nutrition)**
-Requirements:
at least 70% in each of their required 2000 level Biochemistry and Chemistry courses.

**Major in Biochemistry**
-Required Courses:
Six credit hours in Critical Reading and Writing (CRW) courses, including at least 3 credit hours in English courses.

Biology 1001 and 1002; Mathematics 1000, 1001; Physics 1050 (or 1020), 1051 (or 1021); Chemistry 1050, 1051 (or Chemistry 1200 and 1001).

Biochemistry 2200 (or 2100), 2201, 2901, 3105, 3108, 3206, 3207, and 3906 or 3907.

At least 9 credit hours in courses from Biochemistry 4002, 4101, 4103, 4104, 4105, 4200, 4201, 4230, 4231, 4232-4239.

Six additional credit hours chosen from: Medicine 310A/B, Biochemistry 2600, Biology 2060, 3050, Chemistry 4201, 4701 or Biochemistry courses at the 3000 or 4000 level.