GEP0821 Classical LogicBahçeşehir UniversityDegree Programs COMPUTER ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
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
GEP0821 Classical Logic Spring 3 0 3 5
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: GE-Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Dr. BURCU ALARSLAN ULUDAŞ
Recommended Optional Program Components: None
Course Objectives: To make students to be acquainted with subject-matters and concepts of logic and to learn the way of thinking on those subject-matters and concepts.

Learning Outcomes

The students who have succeeded in this course;
After successfully completing this course the student will be able
•Recognises main problems of logic.
•Explains the relation between classic logic and other disciplines
•Identify main concepts of philosophy and relation between them.
•Thinks correct and consistently.
•Describes the concept fully.
•Improves mental execution.

Course Content

Concept, definition, predicables, proposition, reasoning, fallacies

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction
2) Definition of logic, principles of reason and the essence of logic Course notes
3) Subject-matter, aim, importance and uses of logic Course notes
4) Short history of logic Course notes
5) Concept, its kinds and denotations, inter-conceptual relations Course notes
6) Predicables and categories Course notes
7) Definition, its kinds and conditions Course notes
8) Errors in definition, indefinables, division and classification Course notes
9) Proposition and its kinds Course notes
10) Modal propositions, distributivity in propositions and inter-propositional relations Course notes
11) Reasoning, syllogism, the structure and the elements of syllogism, categorical syllogisms Course notes
12) Reasoning, syllogism, the structure and the elements of syllogism, categorical syllogisms Course notes
13) Hypothetical and disjunctive syllogisms, compound syllogisms, irregular syllogisms Course notes
14) Induction, analogy, the five arts Course notes

Sources

Course Notes / Textbooks: Emiroğlu, İbrahim, Klasik Mantığa Giriş, Ankara 2004,
References: Öner, Necati, Klasik Mantık, Ankara 1991
Çapak, İbrahim, Gazali’nin Mantık Anlayışı, Ankara 2005

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 10
Homework Assignments 2 % 20
Midterms 1 % 20
Final 1 % 50
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Homework Assignments 2 10 20
Midterms 1 15 15
Final 1 20 20
Total Workload 97

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.
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.
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.
6) Ability to work effectively within and multi-disciplinary teams; individual study skills.
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. 3
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously. 3
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.