COURSE DESCRIPTION AND APPLICATION INFORMATION

Course Name Code Semester T+A+L (hour/week) Type (C / O) Local Credit ECTS
Introduction to Data Science Tools DSE5 10 Fall-Spring 03+00+00 Elective 3 7.5
Academic Unit:
Mode of Delivery:
Prerequisites: None
Language of Instruction: English
Level of Course Unit: Graduate
Course Coordinator:
Course Objectives:
Course Contents:
Learning Outcomes of the Course Unit (LO):
    Planned Learning Activities and Teaching Methods:


    WEEKLY SUBJECTS AND RELATED PREPARATIONS

    WeekSubjectsRelated Preperation


    REQUIRED AND RECOMMENDED READING



    OTHER COURSE RESOURCES



    ASSESSMENT METHODS AND CRITERIA

    Semester RequirementsNumberPercentage of Grade (%)
    Total: 0 0


    WORKLOAD

    EventsCountDuration (Hours)Total Workload (hour)
    Total Workload (hour):0


    THE RELATIONSHIP BETWEEN COURSE LEARNING OUTCOMES (LO) AND PROGRAM QUALIFICATIONS (PQ)

    # PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12
    Course Name Code Semester T+A+L (hour/week) Type (C / O) Local Credit ECTS
    Introduction to Data Science Tools DSE 10 Fall-Spring 03+00+00 Elective 3 7.5
    Academic Unit:
    Mode of Delivery:
    Prerequisites: None
    Language of Instruction: English
    Level of Course Unit: Graduate
    Course Coordinator:
    Course Objectives:
    Course Contents:
    Learning Outcomes of the Course Unit (LO):
      Planned Learning Activities and Teaching Methods:


      WEEKLY SUBJECTS AND RELATED PREPARATIONS

      WeekSubjectsRelated Preperation


      REQUIRED AND RECOMMENDED READING



      OTHER COURSE RESOURCES



      ASSESSMENT METHODS AND CRITERIA

      Semester RequirementsNumberPercentage of Grade (%)
      Total: 0 0


      WORKLOAD

      EventsCountDuration (Hours)Total Workload (hour)
      Total Workload (hour):0


      THE RELATIONSHIP BETWEEN COURSE LEARNING OUTCOMES (LO) AND PROGRAM QUALIFICATIONS (PQ)

      # PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12