COMPUTER ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
EDT5008	Advanced Instructional Design	Spring	3	0	3	12

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Prof. Dr. TUFAN ADIGÜZEL
Recommended Optional Program Components:	None
Course Objectives:	The overall course objectives are to: -Identify factors that must be incorporated into instructional design processes and products to be consistent with various learning theories (such as behaviorism, Gagne’s theory of instruction, constructivism, motivational theory…etc.) -Analyze a design problem based on various theories. -Analyze instructional materials to identify characteristics representative of particular theories. -Apply the Rapid-prototyping strategy.

Learning Outcomes

The students who have succeeded in this course;
1. to be able to discuss basic assumptions, concepts, and principles of different paradigms of learning, including foundational theories, behavioral psychology, cognitive information processing, developmental theories, motivational theory, and theories of instruction.
2. to be able to compare and contrast theories within and across paradigms for strengths, weaknesses, and applicability
3. to be able to determine the implications of theory for instructional design
4. to be able to formulate and revise personal theories of learning and determine implications
5. to be able to articulate changes in personal epistemology over the course
6. to be able to analyze a design problem based on various theories
7. to be able to identify factors that must be incorporated into instructional design processes and products to be consistent with selected theory
8. to be able to analyze current instructional design model to determine which models are most consistent with which theories.
9. to be able to use rapid-prototyping as a method in instructional design

Course Content

Bu ders öğretimsel tasarımda temel öğrenme teorilerinin (Davranışçı yaklaşım, sistem teorisi, iletişim teorisi, öğrenme teorileri, & öğretim teorileri) uygulamalı olarak teknoloji temelli öğrenme materyallerinde incelenmesini ve kullanılmasını amaçlamaktadır.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to course and overview
2)	Introduction to the learning theories
3)	Gagne’s Nine Event of Instruction & Davranışçı Yaklaşım
4)	Presentations on Behaviorism
5)	Cognitive Information Processing
6)	Presentations on Cognitive Information Processing
7)	Meaningful Learning & Schema Theory
8)	Presentations on Meaningful Learning & Schema Theory
9)	Constructivism
10)	Presentations on Constructivism
11)	Rapid prototyping
12)	Presentations on Rapid Prototyping
13)	Motivational Theory
14)	Presentations on Motivational Theory

Sources

Course Notes / Textbooks:	Driscoll, M. P. (2004). Psychology of Learning for Instruction. 3rd Edition. Boston: Allyn & Bacon. Ertmer & Quinn. (2007). The ID Casebook: Case Studies in Instructional Design. 3rd ed/ Pearson.
References:	-

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance	14	% 10
Homework Assignments	2	% 20
Presentation	6	% 30
Project	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Presentations / Seminar	6	10	60
Project	1	60	60
Homework Assignments	1	30	30
Total Workload			192

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2)	Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.	2
3)	Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.	3
4)	Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively.
5)	Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics.	3
6)	Ability to work effectively within and multi-disciplinary teams; individual study skills.	2
7)	Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9)	To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10)	Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11)	Knowledge of the effects of engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions.