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For example, your subject line could be \u201cMIS315: Questions about Assignment 1\u2026.\u201d\nClass Website\thttps://blackboard.ndus.edu\nWe will be using the online Blackboard system in this class. Many of your assignments and grades will be accessed through Blackboard.\nTime/Place\tTuesday & Thursday, 10:00 - 11:15AM\nBarry Hall 358 (face-to-face) or recorded lecture videos (will be announced by the instructor)\nPrerequisites\tCollege of Business major or minor and a 2.50 minimum GPA\nRequired Textbook\tSystems Analysis and Design, 8th edition, Dennis et al., Wiley, 2021, ISBN 978-1-119-80378-2 (Inclusive Access)\nCourse Description\tIntroduction to the front end of the software development life cycle. Includes various modern concepts, techniques, and tools for analyzing and designing well-structured software systems. The course presents an overview of the system development life cycle for computer programmers and systems analysts from problem-solving perspective. Course emphasis will be on the strategies of system analysis and design for producing logical methodologies for dealing with complexity in the development of information systems.\nLearning Outcomes\tNDSU College of Business Learning Goals:\n1.\tOur students will be effective communicators\n2.\tOur students will demonstrate effective critical thinking and decision making\n3.\tOur students will be knowledgeable about key business domains\n4.\tOur students will show sensitivity to ethics/ethical reasoning\n5.\tOur students will be effective collaborators\n6.\tOur students will be sensitive to issues of globalization\nLearning Outcomes (Cont\u2019d)\tMIS 315 contributes to these goals through its student learning outcomes:\n1.\tUnderstand the systems development life cycle and various strategies to develop an information system,\n2.\tUnderstand the responsibilities of the system analyst,\n3.\tUnderstand various aspects of a feasibility analysis,\n4.\tIdentify system scope, business goals, and system requirements,\n5.\tUse diagramming tools (e.g., MS Visio) to create UML models,\n6.\tUse a project management tool (e.g., MS Project) to create a project schedule,\n7.\tDesign a small information system based on object-oriented approach, and\n8.\tUnderstand the issues of user interface design.\nCourse Expectations\tSystem analysis and design ideas and strategies are necessary components in understanding information systems. Hence, the approach will be to learn how to build a system from the \u201cground up\u201d and how systems impact and/or are used to support the business function within an enterprise. The topics covered in this course are difficult to master without considerable effort.\nSince there is a combination of hands-on assignments and conceptual material you will need to develop a diverse set of skills to be successful. Further, you will need to put forth considerable effort and time for experimenting and practicing the technical components of the course. You should make every effort to keep up on the assigned material in the textbook and complete the assignments by the specified due dates. \nNew concepts build on earlier concepts. Attendance in all class periods is expected. If a student must miss a class, he/she is responsible for getting a copy of the notes and/or assignment from his/her classmates or the class Blackboard site.\nIn addition, Systems Analysis and Design is a rapidly changing field.  As computing professionals you will have to learn stay current.  You will have to learn what to read and where to find what it is you should be reading.\nRequired Technology\tMicrosoft Visio and Microsoft Project. These programs are available for FREE for NDSU MIS students. See the class Blackboard announcement how to access the software.\nGrading Policy and Scale\tAll grade appeals should be made to the instructor in writing via e-mail within 10 days of receiving back the graded assignment.", "start_char_idx": 0, "end_char_idx": 4306, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "73a4b172-c190-4aed-bd0b-206a1337f366": {"__data__": {"id_": "73a4b172-c190-4aed-bd0b-206a1337f366", "embedding": null, "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis315-Fone\\data\\MIS 315 Syllabus-Text.txt", "file_name": "MIS 315 Syllabus-Text.txt", "file_type": "text/plain", "file_size": 10127, "creation_date": "2024-09-05", "last_modified_date": "2024-09-05", "last_accessed_date": "2024-09-05"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "a1cccb34-aa97-46de-8fc0-cb29df195017", "node_type": "4", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis315-Fone\\data\\MIS 315 Syllabus-Text.txt", "file_name": "MIS 315 Syllabus-Text.txt", "file_type": "text/plain", "file_size": 10127, "creation_date": "2024-09-05", "last_modified_date": "2024-09-05", "last_accessed_date": "2024-09-05"}, "hash": "f409cd183f232cde426e071cae961628f9fb2edbd31674fbdcc3e94219b77248", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "4a004488-4858-4c33-9f16-b152bdfb5d75", "node_type": "1", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis315-Fone\\data\\MIS 315 Syllabus-Text.txt", "file_name": "MIS 315 Syllabus-Text.txt", "file_type": "text/plain", "file_size": 10127, "creation_date": "2024-09-05", "last_modified_date": "2024-09-05", "last_accessed_date": "2024-09-05"}, "hash": "eb69236d54cfd884afa0e14e28329ba91a41ab96c821167550565be0dcb37e14", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "7d1ad5ec-1099-44d1-9b90-9449111143bb", "node_type": "1", "metadata": {}, "hash": "975a30f92c3ab8738b21bea43a3aa6bbc52d9e69d626352b45d0bbe3faeed0ca", "class_name": "RelatedNodeInfo"}}, "hash": "e1513c9148d653be2a5d5c34136c1a3eceb44b9fa3a4d280a6428ee9ddce4ee6", "text": "You should make every effort to keep up on the assigned material in the textbook and complete the assignments by the specified due dates. \nNew concepts build on earlier concepts. Attendance in all class periods is expected. If a student must miss a class, he/she is responsible for getting a copy of the notes and/or assignment from his/her classmates or the class Blackboard site.\nIn addition, Systems Analysis and Design is a rapidly changing field.  As computing professionals you will have to learn stay current.  You will have to learn what to read and where to find what it is you should be reading.\nRequired Technology\tMicrosoft Visio and Microsoft Project. These programs are available for FREE for NDSU MIS students. See the class Blackboard announcement how to access the software.\nGrading Policy and Scale\tAll grade appeals should be made to the instructor in writing via e-mail within 10 days of receiving back the graded assignment. Grades will be based on the following scale:\n\nPoints\nQuizzes\t40\nIn-Class Questions\t10\nProject/Assignments\t200\nTests (5 \u00d7 25pt each) \t125\nTotal\t375\n\nGrades\tPercentage\tPoints\nA\t90-100%\t337-375\nB\t80-89.9%\t300-336\nC\t70-79.9%\t262-299\nD\t60-69.9%\t225-261\nF\t< 60%\t< 225\n\nQuizzes\tThere will be 12 quizzes given out throughout the semester. No make-up quiz will be given but only the top 10 quiz scores will count towards your course grade.\nIn-Class Questions\tEach student will be randomly called on to answer in-class questions. There are two questions throughout the semester (5 pt. each). You must attend class to get your name on the student list to have a chance to be called on. If you cannot make it to the class, you need to let the instructor know by email in advance (at least 30 minutes before class), so that your name will be taken off the student list. If you are called on but are not present in class, you will receive a grade of zero for each in-class question.\nGroup Project / \nAssignments\tEach student will participate in a group project. Each project includes small/single topic assignments. Each assignment is an extension into the detail of what is being discussed in class. The project will require that you get out of the textbooks and into modeling open-ended information systems. Details of the assignments will be given later in class and/or on Blackboard. If you miss class, it is your responsibility to check Blackboard for any given assignments and to get a copy of the notes from your classmates.\nAssignments are due on assigned dates. Late submissions are not accepted. Missing assignments will received a grade of zero.\nTests\n\tThere are five online, open-book tests in this class. You need to work on the tests independently. Consultation with any other person except the instructor regarding the tests is NOT allowed. Each test contains questions from the  assigned readings, assignments, and material and concepts presented and discussed in class. Failure to take a test on the scheduled date and scheduled time will result in a score of zero. Make-up tests will be allowed only in extreme and unusual circumstances with proofs. If it is not possible for you to be present for a test, you must contact me in advance to arrange for a make-up which may be harder than the scheduled test. \nExtra-credit\tStudent can earn up to a total of 15 extra credit points for attending professional development events. Additional details will be provided in class.\nLaptop Policy\tIt is expected that each student will have their own laptop with the required software configuration installed. If this will be a problem the student should contact the instructor as soon as possible.\nOther Policies\t1.\tDo NOT use cell phones or text messaging in class. All ringers must be turned off. All earphones, headphones, headset or any other accessory must be out of sight.\n2.\tLaptop usage is restricted to class-related tasks only. Non-class related e-mail and social networking should be conducted before or after class.\n\nCopyright of Course Materials\n\u2022\tNDSU Policy 190 on Intellectual property.\n\u2022\tIn this course recording the lectures is prohibited with your own personal devices (without prior express approval from the instructor).\n\u2022\tIn this course recording the lectures for anything other than personal use is prohibited.\nOther Guidelines\n\u2022\tAdditional Items: All students must have a student ID and must be able to log in to the blackboard using their ID. All students are expected to check the blackboard on a daily basis (weekends included) for messages related to this course.", "start_char_idx": 3361, "end_char_idx": 7890, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "7d1ad5ec-1099-44d1-9b90-9449111143bb": {"__data__": {"id_": "7d1ad5ec-1099-44d1-9b90-9449111143bb", "embedding": null, "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis315-Fone\\data\\MIS 315 Syllabus-Text.txt", "file_name": "MIS 315 Syllabus-Text.txt", "file_type": "text/plain", "file_size": 10127, "creation_date": "2024-09-05", "last_modified_date": "2024-09-05", "last_accessed_date": "2024-09-05"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "a1cccb34-aa97-46de-8fc0-cb29df195017", "node_type": "4", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis315-Fone\\data\\MIS 315 Syllabus-Text.txt", "file_name": "MIS 315 Syllabus-Text.txt", "file_type": "text/plain", "file_size": 10127, "creation_date": "2024-09-05", "last_modified_date": "2024-09-05", "last_accessed_date": "2024-09-05"}, "hash": "f409cd183f232cde426e071cae961628f9fb2edbd31674fbdcc3e94219b77248", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "73a4b172-c190-4aed-bd0b-206a1337f366", "node_type": "1", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis315-Fone\\data\\MIS 315 Syllabus-Text.txt", "file_name": "MIS 315 Syllabus-Text.txt", "file_type": "text/plain", "file_size": 10127, "creation_date": "2024-09-05", "last_modified_date": "2024-09-05", "last_accessed_date": "2024-09-05"}, "hash": "e1513c9148d653be2a5d5c34136c1a3eceb44b9fa3a4d280a6428ee9ddce4ee6", "class_name": "RelatedNodeInfo"}}, "hash": "975a30f92c3ab8738b21bea43a3aa6bbc52d9e69d626352b45d0bbe3faeed0ca", "text": "Other Policies\t1.\tDo NOT use cell phones or text messaging in class. All ringers must be turned off. All earphones, headphones, headset or any other accessory must be out of sight.\n2.\tLaptop usage is restricted to class-related tasks only. Non-class related e-mail and social networking should be conducted before or after class.\n\nCopyright of Course Materials\n\u2022\tNDSU Policy 190 on Intellectual property.\n\u2022\tIn this course recording the lectures is prohibited with your own personal devices (without prior express approval from the instructor).\n\u2022\tIn this course recording the lectures for anything other than personal use is prohibited.\nOther Guidelines\n\u2022\tAdditional Items: All students must have a student ID and must be able to log in to the blackboard using their ID. All students are expected to check the blackboard on a daily basis (weekends included) for messages related to this course.\n\u2022\tStudents with Special Needs: Any students with disabilities or other special needs, who need special accommodations in this course, are invited to share these concerns or requests with the instructor and contact the Disability Services Office (www.ndsu.edu/disabilityservices) as soon as possible.\n\u2022\tAcademic Honesty: The academic community is operated on the basis of honesty, integrity, and fair play. NDSU Policy 335: Code of Academic Responsibility and Conduct applies to cases in which cheating, plagiarism, or other academic misconduct have occurred in an instructional context. Students found guilty of academic misconduct are subject to penalties, up to and possibly including suspension and/or expulsion. Student academic misconduct records are maintained by the Office of Registration and Records. Informational resources about academic honesty for students and instructional staff members can be found at www.ndsu.edu/academichonesty.\n\u2022\tStudents are responsible for submitting their own work. Students who cooperate on any class participation exercises, assignments or examinations without authorization share the responsibility for violation of academic principles, and such students are subject to disciplinary action even when one of the students is not enrolled in the course where the violation occurred. The minimum penalty for prohibited academic conduct will be a failing grade for the course for each of the individuals involved.\n\u2022\tSpecial Accommodations. Any student with disabilities or other special needs who needs special accommodation in this course is encouraged to speak to the primary instructor and contact the Disability Services Office as soon as possible to make appropriate arrangements for these accommodations.\nThe instructor reserves the right, when necessary, to modify the syllabus: alter the grading policy, change examination dates, and modify the course content. Modifications will be announced and discussed in class and will be posted on the class website. Students are responsible for those changes.\n\n******* The tentative course schedule is available on Blackboard *******", "start_char_idx": 6997, "end_char_idx": 10011, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}}, "docstore/ref_doc_info": {"a1cccb34-aa97-46de-8fc0-cb29df195017": {"node_ids": ["4a004488-4858-4c33-9f16-b152bdfb5d75", "73a4b172-c190-4aed-bd0b-206a1337f366", "7d1ad5ec-1099-44d1-9b90-9449111143bb"], "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis315-Fone\\data\\MIS 315 Syllabus-Text.txt", "file_name": "MIS 315 Syllabus-Text.txt", "file_type": "text/plain", "file_size": 10127, "creation_date": "2024-09-05", "last_modified_date": "2024-09-05", "last_accessed_date": "2024-09-05"}}}}
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Please refer to the blackboard for important dates and deadlines.)\n\nWeek 1\nAugust 26 (No class)\nTopics: Course introduction \n\nWeek 2\nSeptember 2 (Labor Day - No class)\nTopics: Overview to BI/BA\n\nWeek 3\nSeptember 9 (Monday 10-11:15am, BH 260)\nTopics: Business data management\nOnline activities: Microsoft Access \n\nWeek 4\nSeptember 16 (Monday 10-11:15am, BH 260)\nTopics: Introduction to SQL and Teradata\nOnline activities: Teradata SQL\n\nWeek 5\nSeptember 23 (Monday 10-11:15am, BH 260)\nTopics: More on Teradata SQL, Data warehousing\nOnline activities: Teradata OLAP\nHomework 1\n\nWeek 6\nSeptember 30 (Monday 10-11:15am, BH 260)\nTopics: OLAP tools\nOnline activities: Power Query\n\nWeek 7\nOctober 7 (Monday 10-11:15am, BH 260)\nTopics: Dimensional modeling\nOnline activities: Power Pivot Part 1\n\nWeek 8\nOctober 14 (Monday 10-11:15am, BH 260)\nTopics: Statistical modeling for descriptive analytics\nOnline activities: Power Pivot Part 2\nHomework 2\n \nWeek 9\nMIDTERM EXAM online test: October 21 (Monday 10-11:15am)\nMIDTERM EXAM software project: Due by Friday, October 25, 11:59pm\n\nWeek 10\nOctober 28 (Monday 10-11:15am, BH 260)\nTopics: Business reporting\nOnline activities: Power Pivot Part 3\n\nWeek 11\nNovember 4 (Monday 10-11:15am, BH 260)\nTopics: Data visualization\nOnline activities: Tableau part 1\n\nWeek 12\nNovember 11 (Memorial Day - No class)\nOnline activities: Tableau part 2\nHomework 3\n\nWeek 13\nNovember 18 (Monday 10-11:15am, BH 260)\nTopics: Data visualization\nOnline activities: Tableau part 3\n\nWeek 14\nNovember 25 (Monday 10-11:15am, BH 260)\nTopics: Data mining part 1\nThanksgiving break\n\nWeek 15\nDecember 2 (Monday 10-11:15am, BH 260)\nTopics: Data mining part 2\nOnline activities: Power BI \nHomework 4\n\nWeek 16\nDecember 9 (Monday 10-11:15am, BH 260)\nTopics: TBD\nFINAL EXAM software project due by Sunday, December 15, 11:59pm\n\nWeek 17\nFINAL EXAM online test: Tuesday, December 17, 1:00-3:00pm", "start_char_idx": 0, "end_char_idx": 2018, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "562e066e-7e64-4246-8182-f69c1abdf00e": {"__data__": {"id_": "562e066e-7e64-4246-8182-f69c1abdf00e", "embedding": null, "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis340\\data\\mis340f24syllabus.txt", "file_name": "mis340f24syllabus.txt", "file_type": "text/plain", "file_size": 6773, "creation_date": "2024-08-22", "last_modified_date": "2024-08-22", "last_accessed_date": "2024-08-22"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "829cdfc3-c863-4265-855a-70e38136acf0", "node_type": "4", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis340\\data\\mis340f24syllabus.txt", "file_name": "mis340f24syllabus.txt", "file_type": "text/plain", "file_size": 6773, "creation_date": "2024-08-22", "last_modified_date": "2024-08-22", "last_accessed_date": "2024-08-22"}, "hash": "aab5e81d4994c69cc2108aeb7b7bc29618fd67f22806f1469591d36c86f78165", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "fdf53254-96d3-4dc2-a05f-175872608808", "node_type": "1", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis340\\data\\mis340f24schedule.txt", "file_name": "mis340f24schedule.txt", "file_type": "text/plain", "file_size": 2112, "creation_date": "2024-08-22", "last_modified_date": "2024-08-22", "last_accessed_date": "2024-08-22"}, "hash": "7feea00a7c8c5ddee2507a0709e4561d51f044b7a74ebc0d4528e33f610c81a9", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "708a31d9-4a93-47ca-b3fb-f8906448c861", "node_type": "1", "metadata": {}, "hash": "ab71629f481344ab2d840d176867d4f2fa39729424a9781198e5b1acaf167476", "class_name": "RelatedNodeInfo"}}, "hash": "4bf13ae16db9ec9e637f864ef21ecdfb7fbd6cd1c0d4f0f1fc7a8c5082c547c7", "text": "MIS 340: Applied Business Intelligence\nFall 2024, Section 1 (25491) (3 Credits)\nDepartment of Accounting and Information Systems\nNorth Dakota State University\n\nInstructor:\t\tProfessor Limin Zhang\nContact:\t\tEmail: limin.zhang@ndsu.edu\nOffice hours: Wednesday 11:30am-12:30pm, or by appointment\nOffice hour location: Barry Hall 206 \nClass Time/Place:\tMonday 10:00-11:15am, Barry Hall 260\nClass Website:\tNDSU blackboard (https://blackboard.ndus.edu/) \n\nRequired Textbook\nSharda, R., Delen, D., & Turban, E. (2023). Business Intelligence, Analytics, Data Science, and AI (5th ed.). Pearson. ISBN-13: 978-0137931286.\n\nRequired Technology\nThe following software systems will be used in the class:\n* Microsoft Excel 2021 with PowerPivot and Statistical Toolpak add-ins. You can download and install Office 365 ProPlus (free for all NDSU students) https://kb.ndsu.edu/page.php?id=100617. However, the PowerPivot add-ins are only available for Windows version of Excel.\n* Microsoft Power BI (online version is available for all NDSU students; desktop version can be downloaded from: https://powerbi.microsoft.com/en-us/downloads/ for Windows PC only).\n* Microsoft Access 2021 (only available on Windows PC)\n* Tableau (Access instruction will be provided by the instructor)\n* Teradata ViewPoint or Teradata Studio (Access instruction will be provided by the instructor)\n\nNOTE: You can use the NDSU Virtual Open Lab to access campus software remotely. Please refer to the following website for instructions: https://kb.ndsu.edu/page.php?id=114270 \n\nCourse Description\nA hands-on look at Business Intelligence as applied to managerial decision making by exploring techniques for information creation including business analytics, data visualization, scorecards, dashboards and data mining.  \n\nNDSU College of Business Learning Goals:\n1. Our students will be effective communicators\n2. Our students will demonstrate effective critical thinking and decision making\n3. Our students will be knowledgeable about key business domains\n4. Our students will show sensitivity to ethics/ethical reasoning\n5. Our students will be effective collaborators\n6. Our students will be sensitive to issues of globalization\n\nMIS 340 contributes to these goals through its student learning outcomes:\n* Students will learn conceptual frameworks to understand the use of BI/DA in organizational decision-making settings.\n* Students will learn how to design data warehouses and data marts and use the extract, transform, load (ETL) process to populate the data warehouse with data from organizational transaction processing systems.\n* Students will be able to define data mining and understand the different methodologies associated with data mining.\n* Students will learn advanced software application hands-on skills on how to apply leading analytics tools (e.g., Teradata, Power Pivot, Tableau) to develop BI solutions.\n\nCourse Administration\nThis course is offered in a blended format with approximately 50% lecture sessions and 50% online offerings (see class schedule for details.) During both lecture and online sessions, a number of quizzes, video tutorials, hands-on exercises, reading assignment, and other activities will be given to improve the understanding of course material and encourage attendance. \n\nAssignments\nAll assignments and projects are due at the time and date specified in the instructions. 10% of the total possible points will be deducted each day for late submissions. Late submissions beyond 5 days (including weekends) will not be accepted. \n\nAttendance & Class Activities\nTo improve the understanding of course material and encourage class attendance, a number of class exercises, reading assignments, quizzes, and online activities will be given during the semester. There is no late submission or make-up for missed class activities except for excused absences supported by documentation.\n\nYou are a critical element in class sessions, which will usually be interactive. All students are encouraged to ask questions to clarify and expand the presented material. Each class will have important information, and it is your responsibility to get this information if you are unable to attend the class. There will be online videos materials and hands-on practice designed to supplement the textbooks. \n\nExams\nThe exams will cover all the topics that are covered in the class. Each exam may consist of two parts: (1) a closed-book online test and (2) a take-home software project. There will be no make-up exams, except for emergency situations or medical reasons supported by medical or other appropriate documentation. In case of emergency, please call or email the instructor as soon as possible.", "start_char_idx": 0, "end_char_idx": 4692, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "708a31d9-4a93-47ca-b3fb-f8906448c861": {"__data__": {"id_": "708a31d9-4a93-47ca-b3fb-f8906448c861", "embedding": null, "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis340\\data\\mis340f24syllabus.txt", "file_name": "mis340f24syllabus.txt", "file_type": "text/plain", "file_size": 6773, "creation_date": "2024-08-22", "last_modified_date": "2024-08-22", "last_accessed_date": "2024-08-22"}, "excluded_embed_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "excluded_llm_metadata_keys": ["file_name", "file_type", "file_size", "creation_date", "last_modified_date", "last_accessed_date"], "relationships": {"1": {"node_id": "829cdfc3-c863-4265-855a-70e38136acf0", "node_type": "4", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis340\\data\\mis340f24syllabus.txt", "file_name": "mis340f24syllabus.txt", "file_type": "text/plain", "file_size": 6773, "creation_date": "2024-08-22", "last_modified_date": "2024-08-22", "last_accessed_date": "2024-08-22"}, "hash": "aab5e81d4994c69cc2108aeb7b7bc29618fd67f22806f1469591d36c86f78165", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "562e066e-7e64-4246-8182-f69c1abdf00e", "node_type": "1", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis340\\data\\mis340f24syllabus.txt", "file_name": "mis340f24syllabus.txt", "file_type": "text/plain", "file_size": 6773, "creation_date": "2024-08-22", "last_modified_date": "2024-08-22", "last_accessed_date": "2024-08-22"}, "hash": "4bf13ae16db9ec9e637f864ef21ecdfb7fbd6cd1c0d4f0f1fc7a8c5082c547c7", "class_name": "RelatedNodeInfo"}}, "hash": "ab71629f481344ab2d840d176867d4f2fa39729424a9781198e5b1acaf167476", "text": "There is no late submission or make-up for missed class activities except for excused absences supported by documentation.\n\nYou are a critical element in class sessions, which will usually be interactive. All students are encouraged to ask questions to clarify and expand the presented material. Each class will have important information, and it is your responsibility to get this information if you are unable to attend the class. There will be online videos materials and hands-on practice designed to supplement the textbooks. \n\nExams\nThe exams will cover all the topics that are covered in the class. Each exam may consist of two parts: (1) a closed-book online test and (2) a take-home software project. There will be no make-up exams, except for emergency situations or medical reasons supported by medical or other appropriate documentation. In case of emergency, please call or email the instructor as soon as possible. \n\nGrading Policy\nThe course grade is composed of the following components and weights:\n\nEvaluation Items\n- Attendance, Quizzes & Class Activities: 150 Points\n- Assignments (4 x 50 points): 200 Points\n- Projects (2 x 100 points): 200 Points\n- Exams (2 x 150 points): 300 Points\nTotal: 850 points\n\nGrade Percentage Points\nA 90-100%\t765-850\nB 80-89.99%\t680-764\nC 70-79.99%\t595-679\nD 60-69.99%\t510-594\nE < 60%\t\t< 510\n\nDisputes with grading\nAll grade appeals should be made to the instructor in writing via email within 3 days of receiving back the graded assignment.\n\nAcademic Honesty Statement\nThe academic community is operated on the basis of honesty, integrity, and fair play. NDSU Policy 335: Code of Academic Responsibility and Conduct applies to cases in which cheating, plagiarism, or other academic misconduct have occurred in an instructional context. Students found guilty of academic misconduct are subject to penalties, up to and possibly including suspension and/or expulsion. Student academic misconduct records are maintained by the Office of Registration and Records. Informational resources about academic honesty for students and instructional staff members can be found at www.ndsu.edu/academichonesty.\n\nAmericans with Disabilities Act for Students with Special Needs\nAny students with disabilities or other special needs, who need special accommodations in this course, are invited to share these concerns or requests with the instructor and contact the Disability Services Office (www.ndsu.edu/disabilityservices) as soon as possible.\n\nFamily Educational Rights and Privacy Act (FERPA) Statement\nYour personally identifiable information and educational records as they relate to this course are subject to FERPA.\n\nThis syllabus is intended to give students guidance in what may be covered during the semester and will be followed as closely as possible. 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