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Course Details
KTO KARATAY UNIVERSITY
Trade and Industry Vocational School
Programme of Computer Programming
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
03841196 Advanced Programming Techniques 2 Spring 4 2+1+0 5 5
Course Type Elective
Course Cycle Associate (Short Cycle) (TQF-HE: Level 5 / QF-EHEA: Short Cycle / EQF-LLL: Level 5)
Course Language Turkish
Methods and Techniques Proje Tabanlı Öğrenme (PBL), Vaka Çalışmaları ve Gerçek Hayat Örnekleri
Mode of Delivery Face to Face
Prerequisites -
Coordinator -
Instructor(s) Lect. Abubakar MAYANJA
Instructor Assistant(s) -
Course Instructor(s)
Name and Surname Room E-Mail Address Internal Meeting Hours
Lect. Abubakar MAYANJA TSMYO-T213 [email protected] 7829 Wednesday
11:00 -12:00
Course Content
Preliminaries. Evolution of The Major Programming Languages. Describing Syntax and Semantics. Lexical and Syntax Analysis. Names, Bindings and Scopes. Data Types. Expressions and Assignment Statements. Statement-Level Control Structures. Subprograms. Implementing Subprograms. Abstract Data Types and Encapsulation Constructs. Support for Object Oriented Programming. Concurrency. Exception Handling and Event Handling.
Objectives of the Course
To introduce structures specific to programming languages, to show how programming languages work, and to provide a basis for programming language design.
Contribution of the Course to Field Teaching
Basic Vocational Courses X
Specialization / Field Courses X
Support Courses X
Transferable Skills Courses
Humanities, Communication and Management Skills Courses
Relationships between Course Learning Outcomes and Program Outcomes
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Program Learning Outcomes Level
P1 He/she has basic, current and applied information about his/her profession. 1
P11 Creates algorithms and data structures and performs mathematical calculations. 4
P12 Explains and applies web programming technologies. 3
P13 Performs database design and management. 4
P14 Tests software and fixes bugs. 2
P20 Öğrencilerin bilgi teknolojilerini etkin ve verimli bir şekilde kullanarak akademik ve profesyonel hayatlarında karşılaştıkları problemleri çözme yetkinliği kazanmaları. 2
Course Learning Outcomes
Upon the successful completion of this course, students will be able to:
No Learning Outcomes Outcome Relationship Measurement Method **
O1 Knows how to develop algorithms and creates a data structure suitable for the algorithm. P.4.1 1,7
O2 Knows the basic elements of a computer. P.1.1 1,6,7
O3 Knows how to use the internet and do research. P.1.2 6
O4 Knows current techniques for data analysis. P.3.1 7
O5 Addresses complex problems and produces creative solutions. P.3.3 1
O6 To be able to define the basic concepts of information technologies and computer systems and to explain the relationships between these concepts. P.20.1 1,3
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7
Weekly Detailed Course Contents
Week Topics
1 Preliminaries
2 Evolution of The Major Programming Languages
3 Describing Syntax and Semantics
4 Lexical and Syntax Analysis
5 Names, Bindings and Scopes
6 Data Types
7 Expressions and Assignment Statements
8 Statement-Level Control Structures
9 Subprograms
10 Implementing Subprograms
11 Abstract Data Types and Encapsulation Constructs
12 Support for Object Oriented Programming
13 Concurrency
14 Exception Handling and Event Handling
Textbook or Material
Resources Concepts of Programming Languages (10th Edition), Robert W.Sebesta, Pearson
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Laboratory - -
Practice 10 -
Field Study - -
Course Specific Internship (If Any) - -
Homework 4 -
Presentation - -
Projects - -
Seminar - -
Quiz - -
Listening - -
Midterms 1 30 (%)
Final Exam 1 70 (%)
Total 100 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 14 4 56
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 14 3 42
Midterms 1 15 15
Quiz 0 0 0
Homework 0 0 0
Practice 14 1 14
Laboratory 14 1 14
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 1 15 15
Other 0 0 0
Total Work Load: 156
Total Work Load / 30 5,20
Course ECTS Credits: 5
Course - Learning Outcomes Matrix
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Learning Outcomes P1 P3 P4 P20
O1 Knows the basic elements of a computer. 3 - - -
O2 Knows how to use the internet and do research. 4 - - -
O3 Knows current techniques for data analysis. - 3 - -
O4 Addresses complex problems and produces creative solutions. - 2 - -
O5 Knows how to develop algorithms and creates a data structure suitable for the algorithm. - - 4 -
O6 To be able to define the basic concepts of information technologies and computer systems and to explain the relationships between these concepts. - - - 3