mis / docstore.json
zlmqi's picture
Upload 5 files
c6ce88d verified
raw
history blame
42.9 kB
{"docstore/metadata": {"3c6b6f18-1fa9-43ca-9164-ef9712586de3": {"doc_hash": "b1c94319577cc805636bbfa2f2e9af60a03fecdbd1c8e7f88b548bb0b852a80e"}, "3bb70122-24b6-4215-ad65-c94657a35d62": {"doc_hash": "4f892ebf507ae695cad4d1ce2aa90b863dda01f628160e01ae0816725605d492"}, "ccae2327-a9fb-40f9-a4cb-0a8aa41ce9f4": {"doc_hash": "a13e327d95573d5c2c7a642732786e9b1ff26a017e769e7c687445ce137c32fe"}, "60f0e6b7-93e6-4a08-b87e-894647b03400": {"doc_hash": "39fcebd722a79a0ce91cdca0946b67672481129e0c7adfd6e849b3eb644c774f"}, "49d3d426-098a-45bb-9bff-9bf8b713b6db": {"doc_hash": "93db4e53ab7908b5ed8cdc40e466791990d77733e3f3a5648ee42f0fbd9653af"}, "15423a73-b571-4e4b-96a1-aa4c9aa411b3": {"doc_hash": "c4cd9df16a8d9f94017f48c6d9013fdeb19282cd4af033d587d9e554e77e8088", "ref_doc_id": "3c6b6f18-1fa9-43ca-9164-ef9712586de3"}, "b3e35d0b-588a-4f8e-8b90-fe986117eae7": {"doc_hash": "b8d1c22c922ab6e438d2463d23ad40aa308b35fe48b81214a414a3c615da8a80", "ref_doc_id": "3bb70122-24b6-4215-ad65-c94657a35d62"}, "5c09a10e-37ca-46b7-bae5-36a9b363eb64": {"doc_hash": "4cb075c3aa10774547e566c5e95bf2e6512c1569041e7fc0d4af17dacfce396f", "ref_doc_id": "ccae2327-a9fb-40f9-a4cb-0a8aa41ce9f4"}, "8dbae4fd-8c3b-4772-8dbb-5180d8858385": {"doc_hash": "ca55417bcf03bac25667c5b4f189a5881d45f2253a872c0e18aaa81c40f4cd27", "ref_doc_id": "ccae2327-a9fb-40f9-a4cb-0a8aa41ce9f4"}, "5fc1c53c-6192-429a-a8b9-4b3bfe3f26b2": {"doc_hash": "d26f09f4dccb136948b3c071df605d3bcf59716d3ebd1c5bb15a1698b6232563", "ref_doc_id": "60f0e6b7-93e6-4a08-b87e-894647b03400"}, "c9ef66d1-3f42-42e7-970e-40f1df520a9e": {"doc_hash": "e7e9c46825d2f3a6e8b21aa2dc5e797c4e91a8b9b8f614a8eaaa0ff6c159d61b", "ref_doc_id": "60f0e6b7-93e6-4a08-b87e-894647b03400"}, "2bd609e9-84c3-41ec-8656-e50fb3e15ab4": {"doc_hash": "1267372e8763c73ae233bf9bd74a84808e68ba59411c7b21e68601d956f31254", "ref_doc_id": "49d3d426-098a-45bb-9bff-9bf8b713b6db"}, "c0dc8ea0-5fa3-4850-9367-6854225eba0c": {"doc_hash": "60468c3dc990be780d57a2551953789fb8e11b8f04ee87f615cc6f7be0fdcc68", "ref_doc_id": "49d3d426-098a-45bb-9bff-9bf8b713b6db"}}, "docstore/data": {"15423a73-b571-4e4b-96a1-aa4c9aa411b3": {"__data__": {"id_": "15423a73-b571-4e4b-96a1-aa4c9aa411b3", "embedding": null, "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\activity_summary.txt", "file_name": "activity_summary.txt", "file_type": "text/plain", "file_size": 1326, "creation_date": "2024-02-24", "last_modified_date": "2024-03-10", "last_accessed_date": "2024-03-10"}, "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": "3c6b6f18-1fa9-43ca-9164-ef9712586de3", "node_type": "4", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\activity_summary.txt", "file_name": "activity_summary.txt", "file_type": "text/plain", "file_size": 1326, "creation_date": "2024-02-24", "last_modified_date": "2024-03-10", "last_accessed_date": "2024-03-10"}, "hash": "b1c94319577cc805636bbfa2f2e9af60a03fecdbd1c8e7f88b548bb0b852a80e", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "b3e35d0b-588a-4f8e-8b90-fe986117eae7", "node_type": "1", "metadata": {}, "hash": "b8d1c22c922ab6e438d2463d23ad40aa308b35fe48b81214a414a3c615da8a80", "class_name": "RelatedNodeInfo"}}, "hash": "c4cd9df16a8d9f94017f48c6d9013fdeb19282cd4af033d587d9e554e77e8088", "text": "Class Activities\n\nQuizzes (50 points each, 300 points total)\nOpen book. Individual test.\nIn each learning unit (except Unit 7), there will be a quiz posted on Blackboard. You can start the quiz at any time before the due date/time but will have one hour to complete it. Once you begin, you cannot stop and restart it.\n\nMindTap Training (10 points each, 60 points total)\nStep-by-step training modules in a simulated Excel or Access environment. Individual assignment.\n\nMindTap Exam (40 points each, 240 points total)\nOnline Excel or Access exam, to be taken after the training. \nIndividual assignment. Can be retaken. Up to 3 attempts.\n\nMindTap Project (50 points each, 300 points total)\nThere are four Excel and two Access projects. You will need to use Microsoft Office 365 to complete the projects.\nSubmit your work via MindTap.\nIndividual assignment. Up to 3 attempts.\n\nThe following modules are covered in the course: Access Module 9, Access Module 10, Excel Module 8, Excel Module 9, Excel Module 10, Excel Module 11.\n\nExcel Capstone Project (100 points)\nIndividual project. Up to 3 attempts\n\nGrading Policy:\nQuizzes (6*50)\t\t\t300 points\nMindTap Training (6*10)\t\t60 points\nMindTap Exams (6*40)\t\t240 points\nMindTap Projects (6*50)\t\t300 points\nProject\t\t\t\t100 points\nTotal \t\t\t\t1000 points", "start_char_idx": 0, "end_char_idx": 1289, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "b3e35d0b-588a-4f8e-8b90-fe986117eae7": {"__data__": {"id_": "b3e35d0b-588a-4f8e-8b90-fe986117eae7", "embedding": null, "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\Assignments and due dates.txt", "file_name": "Assignments and due dates.txt", "file_type": "text/plain", "file_size": 1202, "creation_date": "2024-03-10", "last_modified_date": "2024-03-10", "last_accessed_date": "2024-03-10"}, "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": "3bb70122-24b6-4215-ad65-c94657a35d62", "node_type": "4", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\Assignments and due dates.txt", "file_name": "Assignments and due dates.txt", "file_type": "text/plain", "file_size": 1202, "creation_date": "2024-03-10", "last_modified_date": "2024-03-10", "last_accessed_date": "2024-03-10"}, "hash": "4f892ebf507ae695cad4d1ce2aa90b863dda01f628160e01ae0816725605d492", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "15423a73-b571-4e4b-96a1-aa4c9aa411b3", "node_type": "1", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\activity_summary.txt", "file_name": "activity_summary.txt", "file_type": "text/plain", "file_size": 1326, "creation_date": "2024-02-24", "last_modified_date": "2024-03-10", "last_accessed_date": "2024-03-10"}, "hash": "c4cd9df16a8d9f94017f48c6d9013fdeb19282cd4af033d587d9e554e77e8088", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "5c09a10e-37ca-46b7-bae5-36a9b363eb64", "node_type": "1", "metadata": {}, "hash": "4cb075c3aa10774547e566c5e95bf2e6512c1569041e7fc0d4af17dacfce396f", "class_name": "RelatedNodeInfo"}}, "hash": "b8d1c22c922ab6e438d2463d23ad40aa308b35fe48b81214a414a3c615da8a80", "text": "Assignments and due dates:\n\nLearning Unit 1 (Monday, 1/8 \u2013 Sunday, 1/21)\nQuiz 1 (MIS 11 Modules 1 & 2): Due by Sunday, 1/21\n\nLearning Unit 2 (Monday, 1/22 \u2013 Sunday, 1/4)\nQuiz 2 (MIS 11 Modules 3 & 4): Due by Sunday, 1/28\nAccess Module 9 training, exam, and project: Due by Sunday, 2/4\n\nLearning Unit 3 (Monday, 2/5 \u2013 Sunday, 2/18)\nQuiz 3 (MIS 11 Modules 5 & 6): Due by Sunday, 2/11\nAccess Module 10 training, exam, and project: Due by Sunday, 2/18\n\nLearning Unit 4 (Monday, 2/19 \u2013 Sunday, 3/3)\nQuiz 4 (MIS 11 Modules 7 & 8): Due by Sunday, 2/25\nExcel Module 8 training, exam, and project: Due by Sunday, 3/3\n\nSpring Break is March 4 - March 8.\n\nExcel Modules 5-8 Capstone Project (Excel review project): due by Sunday, 3/17\n\nLearning Unit 5 (Monday, 3/18 \u2013 Sunday, 4/7)\nQuiz 5 (MIS 11 Modules 9 & 10): Due by Sunday, 3/24\nExcel Module 9 training, exam, and project: Due by Sunday, 4/7\n\nLearning Unit 6 (Monday, 4/8 \u2013 Sunday, 4/21)\nQuiz 6 (MIS 11 Modules 11 & 12): Due by Sunday, 4/14\nExcel Module 10 training, exam, and project: Due by Sunday, 4/21\n\nLearning Unit 7 (Monday, 4/22 \u2013 Sunday, 5/5)\nExcel Module 11 training, exam, and project: Due by Sunday, 5/5", "start_char_idx": 0, "end_char_idx": 1158, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "5c09a10e-37ca-46b7-bae5-36a9b363eb64": {"__data__": {"id_": "5c09a10e-37ca-46b7-bae5-36a9b363eb64", "embedding": null, "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\bb_announcements.txt", "file_name": "bb_announcements.txt", "file_type": "text/plain", "file_size": 4596, "creation_date": "2024-02-24", "last_modified_date": "2024-03-01", "last_accessed_date": "2024-03-03"}, "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": "ccae2327-a9fb-40f9-a4cb-0a8aa41ce9f4", "node_type": "4", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\bb_announcements.txt", "file_name": "bb_announcements.txt", "file_type": "text/plain", "file_size": 4596, "creation_date": "2024-02-24", "last_modified_date": "2024-03-01", "last_accessed_date": "2024-03-03"}, "hash": "a13e327d95573d5c2c7a642732786e9b1ff26a017e769e7c687445ce137c32fe", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "b3e35d0b-588a-4f8e-8b90-fe986117eae7", "node_type": "1", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\Assignments and due dates.txt", "file_name": "Assignments and due dates.txt", "file_type": "text/plain", "file_size": 1202, "creation_date": "2024-03-10", "last_modified_date": "2024-03-10", "last_accessed_date": "2024-03-10"}, "hash": "b8d1c22c922ab6e438d2463d23ad40aa308b35fe48b81214a414a3c615da8a80", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "8dbae4fd-8c3b-4772-8dbb-5180d8858385", "node_type": "1", "metadata": {}, "hash": "ca55417bcf03bac25667c5b4f189a5881d45f2253a872c0e18aaa81c40f4cd27", "class_name": "RelatedNodeInfo"}}, "hash": "4cb075c3aa10774547e566c5e95bf2e6512c1569041e7fc0d4af17dacfce396f", "text": "Late policy:\n\n10% of the total possible points will be deducted each day for late submissions.\u00a0Late submissions beyond 5 days (including weekends) will not be accepted. Each student may get one exemption from the late penalty, that is, I will waive the late penalty the first time you submit a quiz, exam, or project after the due date/time. Please email the instructor if you miss the deadline of a quiz or project, but would like to use the late pass to make up for it.\n\nExtra credit opportunity: participate in discussion forums\nHere is an exciting opportunity for you to earn extra credit in MIS 320 online session. Every two to three weeks, I will open a tech forum with several discussion questions. Each tech forum focuses on a particular IT-related topic and may consist of multiple discussion questions. You are welcome to participate in any or all of the discussion questions. You will earn 1 extra point for each post, up to 10 points in each tech forum. Typically, each forum will be open for two weeks. No postings are allowed after a forum is closed. To participate, please go to Tools > Discussion Board. Be sure to read the Forum Participation Guidelines first and then review the materials (videos and articles) for Tech Forum.\n\nHelp center\nThere is a new content area \"Help Center\" on the blackboard that contains short videos/instructions for trouble-shooting and frequently asked questions. I will continue to add new videos and/or written instructions to the help center. If you have questions or encounter issues on the assignments, please refer to the help center first. If you can't find answers in the help center, please email me your questions with detailed information and if possible, include screenshots as well.\n\nLearning Unit 4:\n\nWe are starting Excel modules this week. Please refer to Learning Unit 4 on the blackboard and complete the following tasks by the due dates:\nMIS 11 Modules 7 & 8 quiz due by Sunday, 2/25\nExcel Module 8 training, exam, and project 1a due by Sunday 3/3\nFor learning and practice purposes, please watch the demo of Excel Module 8 textbook project available in the Unit 4 folder.\nAs a reminder, you can still earn extra credit by participating in Tech Forum 2 - Generative AI. This forum will be closed on Sunday, 2/25.\u00a0 \n\nHow your final grade is calculated:\nThere are several new items added to your gradebook. These items are calculated based on the grading criteria illustrated in the syllabus. There are 6 weighted scores (100 points each) for the 2 Access modules and 4 Excel modules. Each module accounts for 100 points that are distributed among the following three items:\n\nTraining: 10 points\nExam: 40 points\nProject: 50 points\n\nThe \"Total Points\" item in your gradeboook is the total points (out of 1000 points) you have received so far. \"Total points\" is calculated by summing the following items:\n\nQuizzes 1-6: 300 points\nAccess Module 9 (weighted): 100 points\nAccess Module 10 (weighted): 100 points\nExcel Module 8 (weighted): 100 points\nExcel Module 9 (weighted): 100 points\nExcel Module 10 (weighted): 100 points\nExcel Module 11 (weighted): 100 points\nExcel Modules 5-8 capstone Project: 100 points\n\nExcel Modules 5-8 Capstone Project\n\nThe Excel Modules 5-8 Capstone Project is available for those of you who would like to get a head start. The due date of the project is Sunday, March 17th. You need to use a number of skills covered in Excel Modules 5-8. Please refer to the Capstone Project folder for a list of references of these skills.\nDue Date: Sunday, March 17th, 11:59pm\n\nTotal points: 100\n\nPlease complete Capstone Project 1a Excel Modules 5-8 on MindTap. The project link can be found right after Excel Module 8.\u00a0\n\nThis project requires the following skills covered in Excel Modules 5-8:\nWorking with multiple worksheets\nGrouping (Module 5, EX 5-4)*\n3-D references (Module 5, EX 5-5)\nDefined names using Name Manager (Module 5, EX 5-10)\nExternal references (Module 5, EX 5-7)\nCreating links (links to email addresses etc.)", "start_char_idx": 0, "end_char_idx": 4007, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "8dbae4fd-8c3b-4772-8dbb-5180d8858385": {"__data__": {"id_": "8dbae4fd-8c3b-4772-8dbb-5180d8858385", "embedding": null, "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\bb_announcements.txt", "file_name": "bb_announcements.txt", "file_type": "text/plain", "file_size": 4596, "creation_date": "2024-02-24", "last_modified_date": "2024-03-01", "last_accessed_date": "2024-03-03"}, "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": "ccae2327-a9fb-40f9-a4cb-0a8aa41ce9f4", "node_type": "4", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\bb_announcements.txt", "file_name": "bb_announcements.txt", "file_type": "text/plain", "file_size": 4596, "creation_date": "2024-02-24", "last_modified_date": "2024-03-01", "last_accessed_date": "2024-03-03"}, "hash": "a13e327d95573d5c2c7a642732786e9b1ff26a017e769e7c687445ce137c32fe", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "5c09a10e-37ca-46b7-bae5-36a9b363eb64", "node_type": "1", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\bb_announcements.txt", "file_name": "bb_announcements.txt", "file_type": "text/plain", "file_size": 4596, "creation_date": "2024-02-24", "last_modified_date": "2024-03-01", "last_accessed_date": "2024-03-03"}, "hash": "4cb075c3aa10774547e566c5e95bf2e6512c1569041e7fc0d4af17dacfce396f", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "5fc1c53c-6192-429a-a8b9-4b3bfe3f26b2", "node_type": "1", "metadata": {}, "hash": "d26f09f4dccb136948b3c071df605d3bcf59716d3ebd1c5bb15a1698b6232563", "class_name": "RelatedNodeInfo"}}, "hash": "ca55417bcf03bac25667c5b4f189a5881d45f2253a872c0e18aaa81c40f4cd27", "text": "The due date of the project is Sunday, March 17th. You need to use a number of skills covered in Excel Modules 5-8. Please refer to the Capstone Project folder for a list of references of these skills.\nDue Date: Sunday, March 17th, 11:59pm\n\nTotal points: 100\n\nPlease complete Capstone Project 1a Excel Modules 5-8 on MindTap. The project link can be found right after Excel Module 8.\u00a0\n\nThis project requires the following skills covered in Excel Modules 5-8:\nWorking with multiple worksheets\nGrouping (Module 5, EX 5-4)*\n3-D references (Module 5, EX 5-5)\nDefined names using Name Manager (Module 5, EX 5-10)\nExternal references (Module 5, EX 5-7)\nCreating links (links to email addresses etc.) (Module 5, EX 5-8)\nFunctions:\nHLOOKUP (Module 7, EX 7-2)\nAND (Module 7, EX 7-5)\nIFERROR\nSorting (Module 6, EX 6-5)\nFormatting and conditional formatting\nTables (Module 6, EX 6-10)\nPivot tables, pivot charts, and slicers\nPivot tables (Module 7, EX 7-8, 7-9, 7-10, 70-11)\nPivot charts (Module 7, EX 7-13)\nSlicers (Module 7, EX 7-14)\nWhat-if analysis - data tables, Scenario Manager, Solver (Module 8)\n\n* Module 5, EX 5-4 refers to the ebook of Excel Module 5, section 5-4. You can find the ebook in each module on MindTap.", "start_char_idx": 3314, "end_char_idx": 4528, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "5fc1c53c-6192-429a-a8b9-4b3bfe3f26b2": {"__data__": {"id_": "5fc1c53c-6192-429a-a8b9-4b3bfe3f26b2", "embedding": null, "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\course_intro.txt", "file_name": "course_intro.txt", "file_type": "text/plain", "file_size": 6544, "creation_date": "2024-01-10", "last_modified_date": "2024-01-13", "last_accessed_date": "2024-03-01"}, "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": "60f0e6b7-93e6-4a08-b87e-894647b03400", "node_type": "4", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\course_intro.txt", "file_name": "course_intro.txt", "file_type": "text/plain", "file_size": 6544, "creation_date": "2024-01-10", "last_modified_date": "2024-01-13", "last_accessed_date": "2024-03-01"}, "hash": "39fcebd722a79a0ce91cdca0946b67672481129e0c7adfd6e849b3eb644c774f", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "8dbae4fd-8c3b-4772-8dbb-5180d8858385", "node_type": "1", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\bb_announcements.txt", "file_name": "bb_announcements.txt", "file_type": "text/plain", "file_size": 4596, "creation_date": "2024-02-24", "last_modified_date": "2024-03-01", "last_accessed_date": "2024-03-03"}, "hash": "ca55417bcf03bac25667c5b4f189a5881d45f2253a872c0e18aaa81c40f4cd27", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "c9ef66d1-3f42-42e7-970e-40f1df520a9e", "node_type": "1", "metadata": {}, "hash": "e7e9c46825d2f3a6e8b21aa2dc5e797c4e91a8b9b8f614a8eaaa0ff6c159d61b", "class_name": "RelatedNodeInfo"}}, "hash": "d26f09f4dccb136948b3c071df605d3bcf59716d3ebd1c5bb15a1698b6232563", "text": "If you have any questions regarding purchasing and accessing the course materials (textbooks, MindTap, etc.), please contact Marty Livingood, Cengage Learning Consultant. You can reach him at: marty.livingood@cengage.com, phone 701-429-3441. Or, you can access his virtual office hours by clicking on the link: https://www.cengage.com/coursepages/All_Office\n\nThis is a full-semester long online course that runs from January 9th to May 10th. There is no in-person class. All the teaching materials will be delivered through the blackboard. \n\nThe course is divided into seven learning units offered through the blackboard. You have been enrolled in the blackboard course website and should have access to it. Here are a few important items that need your immediate attention:\n\n1.\tThe syllabus and required course materials are available on the blackboard \"Syllabus & Textbooks\" page. You must carefully read the syllabus for important requirements and policies of the course. Please also review the class schedule and activity summary by clicking the \"Schedule\" link.\n\n2.\tYou must purchase the required course materials during the first week of class. See the syllabus and blackboard for details. Purchase link can be found in \"Syllabus & Textbooks\" on the left pane.\n\n3.\tYou will need Microsoft Excel and Access from Office 365 in order to complete the required assignments. Microsoft Office 365 is free for NDSU students. You can find software download instruction at: https://kb.ndsu.edu/page.php?id=100617\n\n4.\tIf you cannot install Microsoft Excel or Access on your computer, you can use the computer lab on campus or 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\n5.\tYou can find my contact information on the \"Contacts\" page of the blackboard course. I will hold face-to-face office hours on Tuesdays and Thursdays 11:30am-12:30pm. You can also email me to make appointments for in-person or Zoom meetings.\n\n6.\tThe course is organized into 7 bi-weekly learning units plus a midterm review project. You will find links for the units on the left pane of the blackboard site. Each learning unit may consist of reading assignment, quiz, and/or MindTap assignments. You are expected to follow the schedule and complete all the assigned tasks by the due dates. \n\n7.\tWe will use a Cengage Learning Platform called MindTap for Microsoft Access and Excel assignments. You will find all the Access and Excel modules on MindTap but in this class, we will only use Access Modules 9 and 10, Excel Modules 8-11, and Excel Modules 5-8 capstone project. The other modules do not count towards your grade.\n\n8.\tFor all reading assignments and quizzes, you will use the \"MIS 11\" eTextbook. The links to access MIS 11 eTextbook and MindTap Learning Platform can be found in \"Cengage Learning\" on the left pane of the blackboard.\n\n9.\tAll the class activities and assignments are individual work that you must complete by yourself. Students who cooperate on any individual activity without authorization share the responsibility for violation of academic principles. You will complete much of the work on Blackboard and MindTap, which can automatically detect plagiarism.\n\n10.\tIn order to stay informed of any news, updates, and upcoming deadlines related to the course, you should visit the Blackboard course on a regular basis. You are also required to check your NDSU emails for any additional instructions as well as the announcement page on the blackboard regularly.\n\n11.\tFor late policy and extra credit opportunities, please refer to the syllabus. Further information will be posted on the blackboard or sent through emails.\n\nCourse description:\nThis course is an introduction to the basic concepts and developments in information technology. It includes an overview of the opportunities and challenges in the development and management of organizational information systems from a socio-technical perspective. The course is a combination of lecture, discussion, and hands-on computer sessions. \n\nThe topics covered in this course are difficult to master without considerable effort. Since 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 materials and complete the assignments by the specified due dates.", "start_char_idx": 0, "end_char_idx": 4591, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "c9ef66d1-3f42-42e7-970e-40f1df520a9e": {"__data__": {"id_": "c9ef66d1-3f42-42e7-970e-40f1df520a9e", "embedding": null, "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\course_intro.txt", "file_name": "course_intro.txt", "file_type": "text/plain", "file_size": 6544, "creation_date": "2024-01-10", "last_modified_date": "2024-01-13", "last_accessed_date": "2024-03-01"}, "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": "60f0e6b7-93e6-4a08-b87e-894647b03400", "node_type": "4", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\course_intro.txt", "file_name": "course_intro.txt", "file_type": "text/plain", "file_size": 6544, "creation_date": "2024-01-10", "last_modified_date": "2024-01-13", "last_accessed_date": "2024-03-01"}, "hash": "39fcebd722a79a0ce91cdca0946b67672481129e0c7adfd6e849b3eb644c774f", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "5fc1c53c-6192-429a-a8b9-4b3bfe3f26b2", "node_type": "1", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\course_intro.txt", "file_name": "course_intro.txt", "file_type": "text/plain", "file_size": 6544, "creation_date": "2024-01-10", "last_modified_date": "2024-01-13", "last_accessed_date": "2024-03-01"}, "hash": "d26f09f4dccb136948b3c071df605d3bcf59716d3ebd1c5bb15a1698b6232563", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "2bd609e9-84c3-41ec-8656-e50fb3e15ab4", "node_type": "1", "metadata": {}, "hash": "1267372e8763c73ae233bf9bd74a84808e68ba59411c7b21e68601d956f31254", "class_name": "RelatedNodeInfo"}}, "hash": "e7e9c46825d2f3a6e8b21aa2dc5e797c4e91a8b9b8f614a8eaaa0ff6c159d61b", "text": "The following course materials are available with Cengage Unlimited (purchase required):\n1) Textbook: Hossein Bidgoli, MIS 11 (11th edition), Cengage Learning, 2023. \n2) Online learning platform: Microsoft 365 Office 2021 Collection, Cengage Learning, 2023 (access to MindTap system and Office 2021 e-books)\n\nClass Activities\n\nThe course is divided into seven bi-weekly modules. Each module (except Module #1) consists of the following activities:\n\u2022 Reading materials: MIS 10 textbook chapters and additional case studies\n\u2022 Blackboard quiz: One-hour online quiz based on the assigned reading materials\n\u2022 MindTap training: Step-by-step MindTap training on Excel or Access \n\u2022 MindTap exam: Online MindTap exam on Excel or Access \n\u2022 MindTap project: Excel or Access project that requires a Windows computer with Microsoft Office 365 \n\nIn addition, there is an individual review project that cover a wide range of skills and functions in Excel and/or Access. The review project will be given either during the middle or end of the semester.\n\nLate Policy\n\nAll quizzes, assignments, and projects must be submitted by the date and time specified in the instructions. If you miss a due date, you must contact the instructor to submit the work late. 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. Each student may get one exemption from the late penalty, that is, I will waive the late penalty the first time you submit a quiz, exam, or project after the due date/time.\n\nExtra Credit Opportunities\n\nTo promote learning and engagement, a number of extra credit opportunities will be offered throughout the semester. These may include, but are not limited to, participating in discussion forums, attending MIS club events/meetings, and taking part in research studies.", "start_char_idx": 4595, "end_char_idx": 6461, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "2bd609e9-84c3-41ec-8656-e50fb3e15ab4": {"__data__": {"id_": "2bd609e9-84c3-41ec-8656-e50fb3e15ab4", "embedding": null, "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\MIS320s24_syllabus.txt", "file_name": "MIS320s24_syllabus.txt", "file_type": "text/plain", "file_size": 7603, "creation_date": "2024-02-24", "last_modified_date": "2024-03-10", "last_accessed_date": "2024-03-10"}, "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": "49d3d426-098a-45bb-9bff-9bf8b713b6db", "node_type": "4", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\MIS320s24_syllabus.txt", "file_name": "MIS320s24_syllabus.txt", "file_type": "text/plain", "file_size": 7603, "creation_date": "2024-02-24", "last_modified_date": "2024-03-10", "last_accessed_date": "2024-03-10"}, "hash": "93db4e53ab7908b5ed8cdc40e466791990d77733e3f3a5648ee42f0fbd9653af", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "c9ef66d1-3f42-42e7-970e-40f1df520a9e", "node_type": "1", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\course_intro.txt", "file_name": "course_intro.txt", "file_type": "text/plain", "file_size": 6544, "creation_date": "2024-01-10", "last_modified_date": "2024-01-13", "last_accessed_date": "2024-03-01"}, "hash": "e7e9c46825d2f3a6e8b21aa2dc5e797c4e91a8b9b8f614a8eaaa0ff6c159d61b", "class_name": "RelatedNodeInfo"}, "3": {"node_id": "c0dc8ea0-5fa3-4850-9367-6854225eba0c", "node_type": "1", "metadata": {}, "hash": "60468c3dc990be780d57a2551953789fb8e11b8f04ee87f615cc6f7be0fdcc68", "class_name": "RelatedNodeInfo"}}, "hash": "1267372e8763c73ae233bf9bd74a84808e68ba59411c7b21e68601d956f31254", "text": "MIS 320: Management Information Systems (3 Credits)\nSpring 2024, Sections 03 (Online, 15762)\nDepartment of Accounting, Finance and Information Systems\nNorth Dakota State University\n\n_______________________________________________________________________________________\n\nInstructor:\t\tProfessor Limin Zhang\nContact:\t\tPhone: 231-8609\n\t\t\tEmail: limin.zhang@ndsu.edu\n\t\t\tOffice location: Barry Hall 206\n\t\t\tOffice hours: Tuesday and Thursday, 11:30am-12:30pm, or by appointment\nClass Time/Place:\tonline\nClass Website:\t\tLogin to the blackboard (https://blackboard.ndus.edu/) \n_______________________________________________________________________________________\n\nPrerequisites \n* TL 116 \n\nRequired Materials \n\nThe following course materials are available with Cengage Unlimited:\n1) Textbook: Hossein Bidgoli, MIS 11 (11th edition), Cengage Learning, 2023. \n2) Online learning platform: Microsoft 365 Office 2021 Collection, Cengage Learning, 2023 (access to MindTap system and Office 2021 e-books)\n\nRequired Technologies\n\n* Microsoft Office 365 ProPlus (Excel and Access)\no Software download instruction: https://kb.ndsu.edu/page.php?id=100617 \n* A reliable Internet connection for accepting and submitting large files.\n* Email correspondence will be to and from your @ndsu.edu address or through Blackboard. Please do not send from your personal email such as gmail, cableone, etc.\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 and Learning Goals\n\nThis course is an introduction to the basic concepts and developments in information technology. It includes an overview of the opportunities and challenges in the development and management of organizational information systems from a socio-technical perspective. The course is a combination of lecture, discussion, and hands-on computer sessions. \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 320 contributes to these goals through its student learning outcomes:\n* Students will demonstrate competency with Excel spreadsheets and the Access database.\n* Students will demonstrate competence with Simon s decision-making process.\n* Students will demonstrate the ability to identify legal and ethical issues such as file share and illegal downloads, intellectual property rights, privacy and social media, etc.\n* Students will demonstrate the ability to create and use graphs in Excel, create reports in Access, and to create web pages.\n* Students will demonstrate their competent understanding of system development lifecycle and internal development versus outsourcing.\n\nCourse Administration\n\nThe topics covered in this course are difficult to master without considerable effort. Since 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 materials and complete the assignments by the specified due dates. \n\nGrading Policy\n\nGrading for the course will be based on the following requirements:\n\nEvaluation Item\nTotal: 1000 Points\nMindTap Training (6 at 10 points each, total 60 points)\nMindTap Exams (6 at 40 points each, total 240 points)\nMindTap Projects (6 at 50 points each, total 300 points)\nBlackboard Quizzes (6 at 50 points each, total 300 points)\nProject 100 points\n\nGrades\tPercentage\tPoints\nA\t90-100%\t\t900-1000\nB\t80-89.99%\t800-899\nC\t70-79.99%\t700-799\nD\t60-69.99%\t600-699\nE\t< 60%\t\t<600\n\nClass Activities\n\nThe course is divided into seven bi-weekly modules.", "start_char_idx": 0, "end_char_idx": 4120, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}, "c0dc8ea0-5fa3-4850-9367-6854225eba0c": {"__data__": {"id_": "c0dc8ea0-5fa3-4850-9367-6854225eba0c", "embedding": null, "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\MIS320s24_syllabus.txt", "file_name": "MIS320s24_syllabus.txt", "file_type": "text/plain", "file_size": 7603, "creation_date": "2024-02-24", "last_modified_date": "2024-03-10", "last_accessed_date": "2024-03-10"}, "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": "49d3d426-098a-45bb-9bff-9bf8b713b6db", "node_type": "4", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\MIS320s24_syllabus.txt", "file_name": "MIS320s24_syllabus.txt", "file_type": "text/plain", "file_size": 7603, "creation_date": "2024-02-24", "last_modified_date": "2024-03-10", "last_accessed_date": "2024-03-10"}, "hash": "93db4e53ab7908b5ed8cdc40e466791990d77733e3f3a5648ee42f0fbd9653af", "class_name": "RelatedNodeInfo"}, "2": {"node_id": "2bd609e9-84c3-41ec-8656-e50fb3e15ab4", "node_type": "1", "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\MIS320s24_syllabus.txt", "file_name": "MIS320s24_syllabus.txt", "file_type": "text/plain", "file_size": 7603, "creation_date": "2024-02-24", "last_modified_date": "2024-03-10", "last_accessed_date": "2024-03-10"}, "hash": "1267372e8763c73ae233bf9bd74a84808e68ba59411c7b21e68601d956f31254", "class_name": "RelatedNodeInfo"}}, "hash": "60468c3dc990be780d57a2551953789fb8e11b8f04ee87f615cc6f7be0fdcc68", "text": "Grading Policy\n\nGrading for the course will be based on the following requirements:\n\nEvaluation Item\nTotal: 1000 Points\nMindTap Training (6 at 10 points each, total 60 points)\nMindTap Exams (6 at 40 points each, total 240 points)\nMindTap Projects (6 at 50 points each, total 300 points)\nBlackboard Quizzes (6 at 50 points each, total 300 points)\nProject 100 points\n\nGrades\tPercentage\tPoints\nA\t90-100%\t\t900-1000\nB\t80-89.99%\t800-899\nC\t70-79.99%\t700-799\nD\t60-69.99%\t600-699\nE\t< 60%\t\t<600\n\nClass Activities\n\nThe course is divided into seven bi-weekly modules. Each module (except Module #1) consists of the following activities:\n* Reading materials: MIS 10 textbook chapters and additional case studies\n* Blackboard quiz: One-hour online quiz based on the assigned reading materials\n* MindTap training: Step-by-step MindTap training on Excel or Access \n* MindTap exam: Online MindTap exam on Excel or Access \n* MindTap project: Excel or Access project that requires a Windows computer with Microsoft Office 365 \n\nIn addition, there is an individual capstone project that cover a wide range of skills and functions in Excel and/or Access. The capstone project will be given either during the middle or end of the semester.\n\nLate Policy\n\nAll quizzes, assignments, and projects must be submitted by the date and time specified in the instructions. If you miss a due date, you must contact the instructor to submit the work late. 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. Each student may get one exemption from the late penalty, that is, I will waive the late penalty the first time you submit a quiz, exam, or project after the due date/time.\n\nExtra Credit Opportunities\n\nTo promote learning and engagement, a number of extra credit opportunities will be offered throughout the semester. These may include, but are not limited to, participating in discussion forums, attending MIS club events/meetings, and taking part in research studies.\n\nCommunications\n\nYou can contact the instructor by visiting the office hours or emailing. When emailing the professor, please follow the email etiquette outlined on the following website (with the exceptions of reply or quick follow-up emails): https://www.ndsu.edu/fileadmin/studentsuccess/Rising_Scholars/Email_Etiquette.pdf\n\nAcademic Honesty\n\nAll work in this course must be completed in a manner consistent with NDSU University Senate Policy, Section 335: Code of Academic Responsibility and Conduct that can be found at http://www.ndsu.nodak.edu/policy/335.htm \n\nStudents are responsible for submitting their own work. Students who cooperate on any individual class 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\nPLEASE NOTE that Excel and Access provide time stamps of the activities related to the assignments, and the MindTap system can automatically detect plagiarism. If you submit work that is not yours, it will be discovered and penalties will be delivered.\n\nSpecial Accommodations\n\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 (http://www.ndsu.edu/disabilityservices/) as soon as possible.\n\nThis syllabus is intended to give the student guidance in what may be covered during the semester and will be followed as closely as possible. However, the professor reserves the right to modify, supplement and make changes as the course needs arise.", "start_char_idx": 3565, "end_char_idx": 7488, "text_template": "{metadata_str}\n\n{content}", "metadata_template": "{key}: {value}", "metadata_seperator": "\n", "class_name": "TextNode"}, "__type__": "1"}}, "docstore/ref_doc_info": {"3c6b6f18-1fa9-43ca-9164-ef9712586de3": {"node_ids": ["15423a73-b571-4e4b-96a1-aa4c9aa411b3"], "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\activity_summary.txt", "file_name": "activity_summary.txt", "file_type": "text/plain", "file_size": 1326, "creation_date": "2024-02-24", "last_modified_date": "2024-03-10", "last_accessed_date": "2024-03-10"}}, "3bb70122-24b6-4215-ad65-c94657a35d62": {"node_ids": ["b3e35d0b-588a-4f8e-8b90-fe986117eae7"], "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\Assignments and due dates.txt", "file_name": "Assignments and due dates.txt", "file_type": "text/plain", "file_size": 1202, "creation_date": "2024-03-10", "last_modified_date": "2024-03-10", "last_accessed_date": "2024-03-10"}}, "ccae2327-a9fb-40f9-a4cb-0a8aa41ce9f4": {"node_ids": ["5c09a10e-37ca-46b7-bae5-36a9b363eb64", "8dbae4fd-8c3b-4772-8dbb-5180d8858385"], "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\bb_announcements.txt", "file_name": "bb_announcements.txt", "file_type": "text/plain", "file_size": 4596, "creation_date": "2024-02-24", "last_modified_date": "2024-03-01", "last_accessed_date": "2024-03-03"}}, "60f0e6b7-93e6-4a08-b87e-894647b03400": {"node_ids": ["5fc1c53c-6192-429a-a8b9-4b3bfe3f26b2", "c9ef66d1-3f42-42e7-970e-40f1df520a9e"], "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\course_intro.txt", "file_name": "course_intro.txt", "file_type": "text/plain", "file_size": 6544, "creation_date": "2024-01-10", "last_modified_date": "2024-01-13", "last_accessed_date": "2024-03-01"}}, "49d3d426-098a-45bb-9bff-9bf8b713b6db": {"node_ids": ["2bd609e9-84c3-41ec-8656-e50fb3e15ab4", "c0dc8ea0-5fa3-4850-9367-6854225eba0c"], "metadata": {"file_path": "C:\\Users\\Limin\\openai\\mis320\\data\\MIS320s24_syllabus.txt", "file_name": "MIS320s24_syllabus.txt", "file_type": "text/plain", "file_size": 7603, "creation_date": "2024-02-24", "last_modified_date": "2024-03-10", "last_accessed_date": "2024-03-10"}}}}