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PCG 350

Course ID:
Course Code & Number
PCG 350
Course Title
Computer-Assisted Career Guidance System
Level
BS
Credit Hours/ ECTS Credits
(2+0+0) 2 TEDU Credits, 4 ECTS Credits
Year of Study:
Junior
Semester:
Fall
Type of Course:
Elective
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: NONE
Co-requisites: NONE
Catalog Description
Domestic and foreign information systems and computer-based career counseling programs offering services over the internet; to develop knowledge and skills about the evaluation of these systems, the standards that the systems should have, and the use of the systems within the framework of ethical standards.
Course Objectives

To have a practical knowledge about computer assisted career guidence systems.

Software Usage
Course Learning Outcomes

Students will be able to;

1. Define domestic and foreign information systems

2. Define computer-based career counseling programs offering services over the internet

3. Develop knowledge and skills about the evaluation of these systems, the standards that the systems should have,

4. Apply the systems within the framework of ethical standards.

5. Apply career development information with the technology

Learning Activities and Teaching Methods:
Discussion/Debate Questioning Reading Web Searching
Assessment Methods and Criteria:
Test / Exam
Assessment Methods and Criteria Others:
Design Content
Recommended Reading

Katz, M. R. (2013). Computer-assisted career decision making: The guide in the machine. Routledge.

Required Reading

Niles, S. G. & Harris-Bowlsbey, J. (2008). Career development interventions in the 21st century (3rd ed.). Upper Saddle River, N.J.: Pearson/Merrill/Prentice Hall.

 

Grading
Learning Activities and Teaching Methods Others:
Group work
Course Coordinator:
Dr. Olcay Yılmaz
Student Workload:
Workload Hrs
Lectures 28
Course Readings 42
Debate 4
Exams/Quizzes 4
Team Meetings 10
Others (Questioning, Discussions/Debates, Web Searching, Group work) 46
Course & Program Learning Outcome Matching: