TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ENGINEERING |
| COMPUTER ENGINEERING PR. (ENGLISH) | |
| Code | CEN215 |
| Name | Data Structures Lab. |
| Term | 2017-2018 Academic Year |
| Semester | 3. Semester |
| Duration (T+A) | 0-2 (T-A) (17 Week) |
| ECTS | 2 ECTS |
| National Credit | 1 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
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Submission of basic data structures designed to store information in computer memory and to access this information
Course Content
Data concept and data types, Lists, linked lists, queues, stacks, binary trees, compression algorithms, sorting algorithms, search algorithms
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Designs and uses fundamental data structures (such as arrays, linked lists, stacks, queues, etc.). |
| LO02 | Develops and uses searching and sorting algorithms. |
| LO03 | Analyzes and compares the efficiency of data structures and algorithms. |
| LO04 | Understands and explains the working principles of data structures and algorithms. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Adequate knowledge of mathematics, science and related engineering disciplines; ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | 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. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively. | 5 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics. | 4 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Ability to work effectively in interdisciplinary and multidisciplinary teams; individual working skills. | 4 |
| PLO07 | Bilgi - Kuramsal, Olgusal | Ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions. | |
| PLO08 | Bilgi - Kuramsal, Olgusal | Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself. | |
| PLO09 | Bilgi - Kuramsal, Olgusal | Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practice. | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development. | |
| PLO11 | Bilgi - Kuramsal, Olgusal | Knowledge of the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Basic data types and data concept | None | |
| 2 | Recursion concept | Reading the lecture notes | |
| 3 | List data structure and applications | Reading the lecture notes | |
| 4 | Linked list, bidirectional lists, one way linked lists | Reading the lecture notes | |
| 5 | Stack data structure and applications | Reading the lecture notes | |
| 6 | Queuing data structure and applications | Reading the lecture notes | |
| 7 | Priority queue and heap tree | Reading the lecture notes | |
| 8 | Midterm Exam | Reading the lecture notes | |
| 9 | Binary search trees | Reading the lecture notes | |
| 10 | Data compression algorithms | Reading the lecture notes | |
| 11 | Sorting methods | Reading the lecture notes | |
| 12 | Sorting methods | Reading the lecture notes | |
| 13 | Search methods | Reading the lecture notes | |
| 14 | Search methods | Reading the lecture notes | |
| 15 | Final Exam | None |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| 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 | 2 | 28 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 1 | 14 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 4 | 4 |
| Final Exam | 1 | 8 | 8 |
| Total Workload (Hour) | 54 | ||
| Total Workload / 25 (h) | 2,16 | ||
| ECTS | 2 ECTS | ||