COMPUTER ENGINEERING
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
COP4495 Huawei Cloud Computing Applications Fall
Spring
3 0 3 6
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: Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Assist. Prof. SELİN NACAKLI
Course Objectives: In this course, the basic topics of cloud computing and low code application development will be presented to the students with presentations and applied lecture method. With the assignments and term projects given, the students' skills of working in groups, researching new technologies, learning, applying, modeling, and converting them into software will be developed. Students will acquire real-life adaptable and commercializable application development skills in industry standards.

Learning Outcomes

The students who have succeeded in this course;
1) Basic cloud computing knowledge
2) Theoretical and practical knowledge on cloud architecture and services
3) Gain perspective on digital transformation and innovation
4) Fundamental knowledge of Low Code application development
5) Application development practice from scratch
6) Theoretical knowledge for advanced application development
7) Practice of developing commercializable business process application
8) Practice of developing data visualization applications

Course Content

Intorduction to Cloud Computing, Cloud Architecture and Cloud Services, Digital Transformation and Innovation, Capabilities of Low Code Platforms, Low Code Application Development by Templates, Entry-level Application Development (Standard Pages), Object, Model, Vue.js ve Script Development, Business Process Orchestration, Advanced Level Application Development (Industrial Application), Data Visualization. The teaching methods of the course include instruction, group work, technology-supported learning, project preparation, and practical application.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Intorduction to Cloud Computing
2) Cloud Architecture and Cloud Services
3) Digital Transformation and Innovation
4) Capabilities of Low Code Platforms
5) Low Code Application Development by Templates
6) Entry-level Application Development I (Standard Pages)
7) Entry-level Application Development II (Standard Pages)
8) Object, Model, Vue.js ve Script Development
9) Business Process Orchestration
10) Advanced Level Application Development I (Industrial Application)
11) Advanced Level Application Development II (Industrial Application)
12) Advanced Level Application Development III (Industrial Application)
13) Data Visualization I
14) Data Visualization II

Sources

Course Notes / Textbooks:
References: https://edu.huaweicloud.com/intl/en-us/
https://www.appcubecloud.io/

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Application 2 % 30
Midterms 1 % 30
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Application 2 12 24
Study Hours Out of Class 14 3 42
Midterms 1 12 12
Final 1 24 24
Total Workload 144

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) Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) 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.
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively. 4
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics. 3
6) Ability to work effectively within and multi-disciplinary teams; individual study skills.
7) Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions.