1. Course number and name

010913535-60 ระบบสารสนเทศและการจัดการฐานข้อมูล (Information and Database Management Systems)

2. Credits and contact hours

3(3-0-6)

3. Instructor’s or course coordinator’s name

Assoc.Prof. Dr.Teeradej Wuttipornpun

4. Text book, title, author, and year

1. Meterials from Lecturer

5. Specific course information

1. brief description of the content of the course (catalog description)
   Data processing; clustering classification; Statistical analysis for decision making; Data visualization; Regression analysis; Supervised learning model; Appying machine learning models for process control.
2. prerequisites or co-requisites
3. indicate whether a required, elective, or selected elective (as per Table 5-1) course in the program
   Elective :

6. Specific goals for the course

1. specific outcomes of instruction (e.g. The student will be able to explain the significance of current research about a particular topic.)
   1. CLO1 Able to apply data cleansing tools
   2. CLO2 Able to apply query tools to transform and clean data
   3. CLO3 Able to apply table and graph tools to visualize data
   4. CLO4 Able to apply Business Intelligent tools to visualize data
2. explicitly indicate which of the student outcomes listed in Criterion 3 or any other outcomes are addressed by the course.

   ABET Student Outcome (SO) Listed in Criterion 3	Course learning outcome (CLO)
   SO2 an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.	CLO1 Able to apply data cleansing tools CLO2 Able to apply query tools to transform and clean data CLO3 Able to apply table and graph tools to visualize data CLO4 Able to apply Business Intelligent tools to visualize data

7. Brief list of topics to be covered

8. Course Assessment