COURSE INFORMATION Course Title: PROGRAMMING LANGUAGES II

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
CEN 849	C	99	3	2	0	4	7.5

Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature)	NA
Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Elton Domnori
Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	NA
Teaching Assistant(s) and Office Hours:	NA
Language:	English
Compulsory/Elective:	Elective
Classroom and Meeting Time:
Course Description:	-
Course Objectives:	To master some of the fundamental concepts that underlie programming language syntax and semantics through a comparative study of several languages and their features; to learn several new programming language features and paradigms; to gain the ability to study conceptual linguistic issues without being blinded by a particular language's implementation; to gain insight into the problem of designing new languages

COURSE OUTLINE

Week	Topics
1	INTRODUCTION
2	OVERVIEW OF SELECTED LANGUAGES
3	LANGUAGE SPECIFICATION
4	NAMES AND BINDINGS
5	TYPES: TYPE SYSTEMS;
6	CONTROL STRUCTURES (SEQUENCING, SUBROUTINES, OTHER CONTROL STRUCTURES )
7	LANGUAGE STUDIES AND COMPARISONS
8	Midterm
9	SCRIPTING AND/OR STRING-PROCESSING LANGUAGES
10	EXPRESSIONS AND STATEMENTS (CONTROL FLOW)
11	SUBROUTINES
12	ABSTRACTION, ENCAPSULATION, AND OBJECT-ORIENTATION
13	CONCURRENCY
14	Course overview

Prerequisite(s):
Textbook:	Robert W Sebesta, Concepts of Programming Langauges, 10th Edition, Addison-Wesley, 2013. (ISBN 978-9780131395312)
Other References:
Laboratory Work:	Yes
Computer Usage:	Yes
Others:	No

COURSE LEARNING OUTCOMES

1	Specification of programming languages
2	Issues in language design

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
Doctorate (PhD) in Computer Engineering Program
1	Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice.
2	Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations
3	Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects.
4	Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies.
5	Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions.
6	Ability of identifying the potential resources for information or knowledge regarding a given engineering issue.
7	The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence.
8	Ability for effective oral and official communication skills in foreign language.
9	Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology.
10	Engineering graduates with well-structured responsibilities in profession and ethics.
11	Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues.
12	Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity.

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Midterm Exam(s)	1	40
Quiz	2	10
Final Exam	1	40
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	16	5	80
Hours for off-the-classroom study (Pre-study, practice)	16	5	80
Mid-terms	1	12	12
Assignments			0
Final examination	1	15.5	15.5
Other			0
Total Work Load:			187.5
Total Work Load/25(h):			7.5
ECTS Credit of the Course:			7.5