Information Package
baskent.edu.tr

Master's of Visual Communication Design without Thesis

SOBE515

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING APPLICATIONS WITH SPSS MODELER SOFT

Course Code
SOBE515
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree Without Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Understanding the concept of data mining
  2. Data pre-processing
  3. Statistical Analysis and Visualization
  4. Modeling and evaluation
  5. Time series analysis and prediction.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme Components
Course Description
Course Contents
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Questions/Answers
  • Case Study
  • Problem Solving
  • Practice
  • Project
  • Report Preparation
  • Presentation
Assessment Methods and Criteria
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 1 1
Preparation for Quiz 1 4 4
Individual or group work 1 16 16
Preparation for Final exam 1 4 4
Course hours 12 2 24
Preparation for Midterm exam 1 3 3
Laboratory (including preparation) 12 1 12
Final exam 1 1 1
Homework 2 2 4
Take-home 2 3 6
Total Work Load75
Total Work Load / 30 (h)2.5
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No

Programme Qualifications / Learning Outcomes

LO1 LO2 LO3 LO4 LO5
K1
K2
K3
K4
K5
K6
K7
K8
K9
K10
K11
K12
K13
K14
K15