SEN2211 Data Structures and Algorithms IBahçeşehir UniversityDegree Programs DIGITAL GAME DESIGNGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
DIGITAL GAME DESIGN
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
SEN2211 Data Structures and Algorithms I Spring 2 2 3 7
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 : Dr. Öğr. Üyesi BETÜL ERDOĞDU ŞAKAR
Course Lecturer(s): Dr. Öğr. Üyesi BETÜL ERDOĞDU ŞAKAR
RA MERVE ARITÜRK
Prof. Dr. NAFİZ ARICA
Instructor DUYGU ÇAKIR YENİDOĞAN
RA SEVGİ CANPOLAT
Recommended Optional Program Components: None
Course Objectives: This is an introductory course on common data structures that are used in software engineering. After completing the course, the student will have knowledge of applying, implementing and analysis of basic data structures, including, lists, stacks and queues. Certain fundamental techniques, such as sorting, searching and recursion are also taught.


Learning Outcomes

The students who have succeeded in this course;
1) Describe and apply basic object oriented programming principles.
2) Implement basic data structures such as linked lists, stacks and queues.
3) Analyze the complexity and efficiency of algorithms.
4) Choose and design data structures for writing efficient programs.
5) Implement recursive algorithms.
6) Describe and implement sorting algorithms on common data structures.
7) Describe and implement search algorithms on common data structures.

Course Content

The course content is composed of object oriented Java review, the complexity and efficiency of algorithms, introduction to list-stack-queue structures, implementing list-stack-queue structures, recursion, searching algorithms and sorting algorithms.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to Data Structures and Algorithms Complexity Analysis
2) Introduction to Linked Lists
3) Doubly Linked Lists Ordered Linked Lists
4)
5) Stacks
6) Stacks for Algebraic Operations
7) Queues
8) Queues
9) Data Structure Classes in Java
10) Recursion
11) Recursive Complexity
12) Searching Algorithms
13) Sorting Algorithms
14) Sorting algorithms

Sources

Course Notes / Textbooks: Data Structures & Problem Solving Using Java (Mark Allen Weiss)
Data Structures and Algorithm Analysis in Java (Mark Allen Weiss)
Data Structures and Abstractions with Java (Frank Carrano)
References: Yok

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Laboratory 4 % 20
Quizzes 5 % 20
Midterms 1 % 20
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Workload
Course Hours 14 28
Laboratory 14 28
Study Hours Out of Class 12 24
Midterms 10 52
Final 5 32
Total Workload 164

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) Comprehend the conceptual importance of the game in the field of communication, ability to implement the player centered application to provide design.
2) Analyze, synthesize, and evaluate information and ideas from various perspectives.
3) Analyze the key elements that make up specific game genres, forms of interactions, mode of narratives and understand how they are employed effectively to create a successful game.
4) Understand game design theories and methods as well as implement them during game development; to make enjoyable, attractive, instructional and immersive according to the target audience.
5) Understand the technology and computational principles involved in developing games and master the use of game engines.
6) Understand the process of creation and use of 2D and 3D assets and animation for video games.
7) Understand and master the theories and methodologies of understanding and measuring player experience and utilize them during game development process.
8) Comprehend and master how ideas, concepts and topics are conveyed via games followed by the utilization of these aspects during the development process.
9) Manage the game design and development process employing complete documentation; following the full game production pipeline via documentation.
10) Understand and employ the structure and work modes of game development teams; comprehend the responsibilities of team members and collaborations between them while utilizing this knowledge in practice.
11) Understand the process of game publishing within industry standards besides development and utilize this knowledge practice.
12) Pitching a video game to developers, publishers, and players; mastering the art of effectively communicating and marketing the features and commercial potential of new ideas, concepts or games.