CEN202 Programming Languages

6 ECTS - 3-0 Duration (T+A)- 4. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
COMPUTER ENGINEERING PR. (ENGLISH)
Code CEN202
Name Programming Languages
Term 2018-2019 Academic Year
Semester 4. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. SELMA AYŞE ÖZEL
Course Instructor Prof. Dr. SELMA AYŞE ÖZEL (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

The objectives of this course are to introduce students the concepts of programming languages and programming environments; to give the students required information to develop a new programming language; to introduce the students how to use the programming language concepts for more accurate code development; to learn which programming languages are used for what purposes; to ease the process of learning new programming languages; to give the required information to use functional and logic programming languages such as Lisp and Prolog.

Course Content

Structure of programming languages. Describing syntax and semantics. Lexical and syntax analysis. Names, bindings, type checking, and scopes. Data types. Expressions, assignment statements, statement-level control structures. Subprograms. Abstract Data Types and Encapsulation constructs.

Course Precondition

Yok

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learns the basic concepts of programming languages.
LO02 Learns how a programming language is developed.
LO03 Be able to learn how compilers and interpreters work.
LO04 Be able to choose the right programming language for a real world programming application.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Has capability in the fields of mathematics, science and computer that form the foundations of engineering 5
PLO02 - Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques, 5
PLO03 - Analyzes a system, its component, or process and designs under realistic constraints to meet the desired requirements,gains the ability to apply the methods of modern design accordingly. 5
PLO04 - Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. 5
PLO05 - Ability to design and to conduct experiments, to collect data, to analyze and to interpret results 0
PLO06 - Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence 0
PLO07 - Can access information,gains the ability to do resource research and uses information resources 0
PLO08 - Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability 5
PLO09 - Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language 5
PLO10 - Professional and ethical responsibility, 0
PLO11 - Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications, 4
PLO12 - Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues 4


Week Plan

Week Topic Preparation Methods
1 The neccessity of learning the basic concepts of the programming languages. Reading the lecture notes
2 Expressing the sytax and semantics. Reading the lecture notes, homework assignment
3 Lexical and syntactical analysis. Reading the lecture notes
4 Names, bindings, type checking, and scope. Reading the lecture notes, homework assignment
5 Data types. Reading the lecture notes
6 Expressions and assignment statements. Reading the lecture notes, homework assignment
7 Conrol structures. Reading the lecture notes
8 Midterm exam. Reading the lecture notes
9 Abstract data types and encapsulation. Reading the lecture notes, homework assignment
10 Subprograms. Reading the lecture notes
11 Implementation of subprograms in compilers. Reading the lecture notes, homework assignment
12 Concurrency. Reading the lecture notes
13 Functional Programming Languages. Reading the lecture notes
14 Logic Programming Languages. Reading the lecture notes, homework assignment
15 Sample applicaitons using LISP and Prolog. Reading the lecture notes
16 Final exam. Reading the lecture notes
17 Final exam. Reading the lecture notes


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 60 24
1. Homework 40 16
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 29.04.2025 12:46