教學大綱 Syllabus

科目名稱：資料庫管理

Course Name: Database Management Systems
  • 學年學期：111-2 Spring Semester, 2023
  • 科目代碼：306008001 Course No.306008001

修別：必

Type of Credit: Required

3.0

學分數

Credit(s)

65

預收人數

Number of Students

課程資料Course Details
  • 開課單位：資管二甲、資管二乙 Course Department:Management Information Systems/B/2
  • 授課老師：周致遠 Instructor: CHOU CHIH-YUAN
  • 先修科目：無Prerequisite(N/A)
  • 上課時間：二D56 Session: tue13-16

課程簡介Course Description

The course of Database Management Systems provides an introduction to the management of database management systems (DBMS). Students will learn multiple principles, tools, and practices of database management and database design. Specifically, the following materials will be covered during the semester: (1) The fundamentals of relational database systems including data models, database architectures, and database manipulations, (2) The database conceptual design, (3) The management issues on database systems, (4) The applications of database management systems, and (5) The new developments and trends of database management. Both technical and practical knowledge will be emphasized.

* To facilitate our course scedule to fit the future 16+2 school policy, we will have a full THREE-HOUR lecture in the first week (Feb 14, 2023). Manual course adding will be decided during the first or second hour after we finish the course introduction part. 

* To balance the number of students in our both classes to achieve better teaching quality, the number of manual course-adding students for this class may be limited depending on the number of enrolled students we have on both classes. The actual policy will be announced before the semester starts.

* Asynchronous course videos for our classes both in English and in Mandarin Chinese will be provided to all our enrolled students for course review in both classes. We encourage students to choose English class on Tuesdays due to the limited space especially if student(s) need course manual course-adding. Manual course-adding policy will be announced after we know the results from course selection during the winter break.

* We extremely welcome exchange students to join us! 

* (Updated on Feb 13, 2023)

Manual course-adding policy for Spring 2023 DBMS classes can be found as follows. ALL the students who need manual course-adding should attend our first class to express their intentions.

Target numbers of students (subject to change):

  • Tuesday’s class: Up to 10-15 students (until the number of 75-80 students).
  • Thursday’s class: No limit, until the number of 65-70 students.

Ordered List for Manual Course-adding Priority:

  1. Protected list (extremely limited)
  2. Exchange students (if available)
  3. Students from University System of Taiwan (NCU, NTHU, & NYCU) (if available)
  4. NCCU MIS sophomore students
  5. NCCU MIS other students (including those with admission from our MS program)
  6. NCCU College of Commerce ETP students (for Tuesday's class only)
  7. NCCU FinTech Program students
  8. NCCU College of Commerce Big Data Analysis Program students
  9. NCCU Department of Accounting Big Data Program students
  10. NCCU College of Commerce students
  11. Other NCCU students
  12. Students from other universities (if available)

The above policy is subject to change.

核心能力分析圖 Core Competence Analysis Chart

能力項目說明

    課程目標與學習成效Course Objectives & Learning Outcomes

    The major objectives of this course revolve around helping the student:

    • Understanding and interpreting the main terminology of database management & design.
    • Analyze the business needs and provide easier, technology-based solutions where appropriate.
    • Be familiar with basic conceptual database design and system development processes.
    • Understand how database management systems can be put to effective use in the real context.
    • Be able to retrieve data using SQL
    • Study the various types of logical data models in use today and likely to emerge in the coming years.

    每周課程進度與作業要求 Course Schedule & Requirements

    週次

    Week

    課程主題

    Topic

    課程內容與指定閱讀

    Content and Reading Assignment

    教學活動與作業

    Teaching Activities and Homework

    學習投入時間

    Student workload expectation

    課堂講授

    In-class Hours

    課程前後

    Outside-of-class Hours

    1

    Intro

    DBMS Introduction & System Development Process

    (Feb 14)

    Lecture & Discussion

    3.0

    6.0

    2

    Database
    Management
    Basics

    Entity-Relational (ER) Modeling

    (Feb 21)
    1. Lectures & Discussions
    2. Additional Discussion Sessions May Be Requested
    3. Pop Quizzes Available
    4. Bonus Homework Assignments Available

    3.0

    6.0

    3

    228 Peace Day Week

    (No Class on Feb 28)

    0.0

    6.0

    4

    Relational Model & ER to Relations

    (Mar 7)

    3.0

    6.0

    5

    Functional Dependency & Normalization

    (Mar 14)

    3.0

    6.0

    6

    SQL (I)

    (Mar 21)

    3.0

    6.0

    7

    SQL (II) & DBMS Programming

    (Mar 28)

    3.0

    6.0

    8

    No Class

    Spring Break

    (No Class on Apr 4)

    Course Review for Exam

    0.0

    6.0

    9

    Exam

    Midterm Exam

    (Apr 11, 6-9 pm)

    Exam

    3.0

    6.0

    10

    Database
    Transaction
    Processing

    Transaction Management & Failure Recovery (I)

    (Apr 18)
    1. Lectures & Discussions
    2. Additional Discussion Sessions May Be Requested
    3. Pop Quizzes Available
    4. Bonus Homework Assignments Available

    3.0

    6.0

    11

    DBMS Storage & Failure Recovery (II)

    (Apr 25)

    3.0

    6.0

    12

    Scheduling & Concurrency Control (I)

    (May 2)

    3.0

    6.0

    13

    Concurrency Control (II)

    (May 9)

    3.0

    6.0

    14

    Database Advanced Topics

    Database Trending Topics (I)

    (May 16)

    3.0

    6.0

    15

    Database Trending Topics (II)

    (May 23)

    3.0

    6.0

    16

    Exam

    Final Exam

    (May 30, 6-9 pm)

    Exam

    3.0

    6.0

    17/18

    Demo

    Main Functions Demo

    (Jun 6 or 8 or 13 or 15)

    Demo group-by-group in class or in TA sessions

    6.0

    12.0

    Presentation
    Video

    Final Presentation Video

    (online, due on Jun 6)

    (peer review due on Jun 20)

    Student Presentation, Discussion, Between-Group Peer Review, & In-Group Peer Review

    Note
    • The course schedule is subject to change.
    • ALL the students are required to attend the TA class.
    • The course is designed for sophomore students in the Department of Management Information Systems. Final grades with detailed comments may be available to all our students by the Mid-July (or earlier). Please be aware of the schedule and be patient for the results. Graduate students, senior students, or exchange students will NOT receive early results due to the fair grading process.

     

    授課方式Teaching Approach

    70%

    講述 Lecture

    10%

    討論 Discussion

    10%

    小組活動 Group activity

    10%

    數位學習 E-learning

    0%

    其他： Others:

    評量工具與策略、評分標準成效Evaluation Criteria

    • Pop Quizzes (Bonus points, if any), Midterm Exam (22.5%) & Final Exam (27.5%): Two closed-book midterm exams and several in-class pop quizzes (bonus points available) will be administered during the semester. If the exam(s) will be missed because of a University-excused absence (and prior notice and evidence are provided), the exam(s) may be rescheduled by the instructor based on his discretion. The format of the make-up exam(s) may vary from the formats of regularly scheduled exams. The instructor has the sole right to make determinations concerning the potential for make-up exams. For the exams, no reasons of absence will be accepted, and no make-up exam will be offered. Please make sure that you are able to attend both exams before selecting our course.
      • Midterm Exam: Tuesday, April 11, 2023, 6-9 pm; Scope: All the materials before Week 8.
      • Final Exam: Tuesday, May 30, 2023, 6-9 pm; Scope: All the materials during this semester.
         
    • Final Project & Homework Assignments (45% + Bonus points, if any): You will join to a team to work on the project and homework assignments. In the project, you will need to design a database for real business(es) and analyze your design strategy. Students do NOT need to build a real complete database. However, need analysis, data modeling (diagrams & descriptions), RDBS explanation, BCNF proof, potential programming needs and generated reports will be examined. Main functions of the database systems should be developed and tested. (Our teaching assistants will help you identify the main functions.) Bonus may be offered to the more complete system prototype(s) if any (May offer at most 5 points, not necessary. Please do not spend too much time here.). Students choose the topic on their own, but the topic should be “semi-real” problem. That is, you will not build the database systems in real context but may still need to conduct interview with real business(es) to know the real needs for your proposed database design. A late penalty of 20% per 24-hour period will be imposed for projects/homework assignments turned in after the submission time. Saturday and Sunday count as one 24-hour period.
       
      • Presentation (15%): You will need to present your findings or thoughts from your project by uploading your pre-recorded 15-minutes video(s). Students in the same group will receive the same grade. (Students SHOULD participate in the group work to receive the grade. The in-group peer evaluation will be utilized to adjust your grade.) At least two students in a group should be presenters. You will need to pre-record a 15-minutes video and then upload to our course platform to share with everyone in class by Tuesday, June 6, 2023 (Taipei Time). Please make your article title with your group numbers (e.g., Group 1) so that every other group will be able to know which group you are. For the between-group peer evaluation (Bonus points available): you will need to provide comments, suggestions, and ranking for all the other presentations in a survey. We will not let groups know who leaves the comments, so please be open to write anything that might be helpful or critical to your peer groups. Bonus point(s) will be offered to the groups who provide excellent comments and who get the highest vote from your peer groups. (It is okay to write your comments in either Traditional Chinese or English.) Please upload the evaluation file you have filled up by 11:59:59 pm on Jun 20, 2023 (Taipei Time).
         
      • Final Report (15%): You will need to submit a group final report regarding to the final project by the assigned submission deadline (11:59:59 pm on Jun 20, 2023, Taipei Time). Students in the same group will receive the same grade. (Students SHOULD participate in the group work to receive the grade). You may refer to the rubrics for final report for more details (will announce during semester). (It is okay to write your final report in either Traditional Chinese or English.)
         
      • Main Functions Demo (15% + Bonus points available): You will need to develop and test the main functions for your proposed database systems using any type of programming language (e.g., Java, C#, PHP, Python, etc.). It is necessary to prove that your main functions could be successfully linked with database and implemented with SQL commands. Bonus points will be offered to a more complete functional system prototype (at most another 5 points, not necessary. Please do not spend too much time here.). ALL the groups will need to present their demo for main functions in the end of the semester (on Week 17 or 18). Instructions will be provided during the TA Practical Sessions and some potential additional discussion opportunities with our teaching assistants outside classes.
         
      • Homework Assignments (Bonus points, if any): You may be assigned take-home group assignments in certain classes. Students in the same group will receive the same grade. (Students SHOULD participate in the group work to receive the grade.)
         
      • In-group peer evaluation (Bonus points available): your will need to provide your job distribution, comments, appraisal, or complaints to your group members, and suggestions to our course in another survey. We will not let other people know who leaves the comments, so please be open and honest to provide your opinions. Points will be cut from your total final score up to 60 points if you have been complaint by your partners with credible specific reasons. Bonus point(s) may be offered to the member who receive outstanding appraisals. Otherwise, all your group members will receive the same grade for the group work. (It is okay to write your comments in either Traditional Chinese or English.)
         
    • TA Practical Sessions (5%): To help students develop their ideas on the final projects step-by-step, a weekly practical TA class is offered (Tuesdays 7-9 pm at Yi Xian Building 5th floor Computer Classroom). Students are required to attend the practical TA class. Participation, and tasks or worksheets provided and assigned in the sessions may be counted and will be highly beneficial to the final project (which counts for 50 points). Bonus points may be offered as well. Because of the space limit, students should attend their TA practical session for selected class only. It is possible to attend TA classes in another session only if you obtain the agreement from our teaching assistants & there are additional available seats.

    指定/參考書目Textbook & References

     

    Required Textbook:
    Modern Database Management by J. Hoffer, R. Venkarataman, and H. Top, Pearson FT Press, 13th Edition/Global Edition. (代理商: 開發圖書有限公司) (ISBN-13: 978-1292263359 | ISBN-10: 1292263350)

    Recommended Reference:
    Fundamentals of Database Systems by R. Elmasri and S. B. Navathe, Pearson IT Certifica, 7th Edition/Global Edition. (代理商: 高立圖書有限公司) (ISBN-13: 978-1292097619 | ISBN-10: 1292097612)

    Optional References:                  

    • Concepts of Database Management by L. Friedrichsen, L. Ruffolo, E. Monk, J. L. Starks, P. J. Pratt, and M. Z. Last, Cengage Learning, 10th Edition. (代理商: 華泰文化) (ISBN-13: 978-0357422083 | ISBN-10: 0357422082)
    • Database Systems: Design, Implementation, & Management by C. Coronel and S. Morris, Cengage Learning, 13th Edition. (ISBN-13: 978-1337627900 | ISBN-10: 1337627909)
    • Database Administration: The Complete Guide to DBA Practices and Procedures by C. S. Mullins, Addison-Wesley Professional, 2nd Edition. (ISBN-13: 978-0321822949 | ISBN-10: 0321822943)
    • Data Mining: A Tutorial-Based Primer by R. J. Roiger, Chapman and Hall/CRC, 2nd Edition. (ISBN-13: 978-1498763974 | ISBN-10: 1498763979)
    • Data Science and Big Data Analytics by EMC Education Services, John Wiley & Sons. (ISBN-13: 978-1118876138 | ISBN-10: 111887613X)
    • Big Data and Social Science: A Practical Guide to Methods and Tools by I. Foster, R. Ghani, R. Jarmin, F. Kreuter, and J. Lane, Chapman and Hall/CRC. (ISBN-13: 978-0367341879 | ISBN-10: 0367341875)
    • Big Data: A Revolution That Will Transform How We Live, Work, and Think by V. Mayer-Schönberger and K. Cukier, Mariner Books. (ISBN-13: 978-0544227750 | ISBN-10: 0544227751)

    已申請之圖書館指定參考書目 圖書館指定參考書查詢 |相關處理要點

    維護智慧財產權，務必使用正版書籍。 Respect Copyright.

    課程相關連結Course Related Links

    https://moodle.nccu.edu.tw/course/view.php?id=30637

    課程附件Course Attachments

    課程進行中，使用智慧型手機、平板等隨身設備 To Use Smart Devices During the Class

    需經教師同意始得使用 Approval

    列印