Information Package / Course Catalogue
| Psychology | |||||
| Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
ECTS Course Information Package
| School/Faculty/Institute | Faculty of Engineering | ||||
| Course Code | COMP 455 | ||||
| Course Title in English | Cloud Engineering | ||||
| Course Title in Turkish | Bulut Mühendisliği | ||||
| Language of Instruction | EN | ||||
| Type of Course | Ters-yüz öğrenme | ||||
| Level of Course | Seçiniz | ||||
| Semester | Spring | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 158 hours per semester | ||||
| Number of Credits | 6 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites |
COMP 201 - Data Structures and Algorithms |
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| Co-requisites | None | ||||
| Expected Prior Knowledge | Data Structures and Algorithms | ||||
| Registration Restrictions | Only Undergraduate Students | ||||
| Overall Educational Objective | To learn the fundamentals of cloud designs and technologies. | ||||
| Course Description | In today's rapidly evolving IT landscape, cloud computing has become a cornerstone technology, and this course provides a deep dive into the concepts, tools, and best practices needed to excel in cloud engineering roles. Cloud Engineering is a comprehensive course designed to equip students with the knowledge and skills required to design, deploy, and manage cloud-based solutions effectively. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) express the fundamental concepts of cloud computing, including cloud service models ( 2) identify a wide range of cloud services, including compute, storage, databases, networking, and security 3) implement security measures to protect data and applications in the cloud. 4) as a member of a team, design new cloud based designs. 5) present new cloud based designs in front of the audience |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| 1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | |||||
| 2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | |||||
| 3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | |||||
| 4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | |||||
| 5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | |||||
| 6) Internalization and dissemination of professional ethical standards. | |||||
| 7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | |||||
| 8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | |||||
| 9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | |||||
| 10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | |||||
| 11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | |||||
| 12) Ability to acquire knowledge independently, and to plan one’s own learning. | |||||
| 13) Demonstration of advanced competence in the clarity and composition of written work and presentations. |
Relation to Program Outcomes and Competences
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | N | |
| 2) | Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | N | |
| 3) | Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | H | Exam,Homework,Derse Katılım |
| 4) | Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | N | |
| 5) | Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | N | |
| 6) | Internalization and dissemination of professional ethical standards. | N | |
| 7) | Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | N | |
| 8) | Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | N | |
| 9) | Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | S | Derse Katılım |
| 10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | Homework,Derse Katılım |
| 11) | Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | N | |
| 12) | Ability to acquire knowledge independently, and to plan one’s own learning. | S | Exam,Homework |
| 13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,Homework |
| Prepared by and Date | İLKER BEKMEZCİ , March 2024 |
| Course Coordinator | İLKER BEKMEZCİ |
| Semester | Spring |
| Name of Instructor | Prof. Dr. İLKER BEKMEZCİ |
Course Contents
| Week | Subject |
| 1) | Introduction to Cloud Computing |
| 2) | Cloud Service Models |
| 3) | Cloud Deployment Models |
| 4) | Cloud Infrastructure Essentials |
| 5) | Cloud Storage Technologies |
| 6) | Cloud Networking Principles |
| 7) | Cloud Security Fundamentals |
| 8) | Identity and Access Management in the Cloud |
| 9) | Managing Cloud Resources |
| 10) | Deploying Applications in the Cloud |
| 11) | Cloud Monitoring and Optimization |
| 12) | Cloud Automation and DevOps Practices |
| 13) | Cloud Migration Strategies |
| 14) | Course Review |
| 15) | Final Exam/Project/Presentation Period |
| 16) | Final Exam/Project/Presentation Period |
| Required/Recommended Readings | |||||||||||||||||||
| Teaching Methods | Flip learning applications and exercises in the classroom with computersö lectures. project | ||||||||||||||||||
| Homework and Projects | Term project | ||||||||||||||||||
| Laboratory Work | |||||||||||||||||||
| Computer Use | For hands-on experience based in-class act' | ||||||||||||||||||
| Other Activities | |||||||||||||||||||
| Assessment Methods |
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| Course Administration |
bekmezcii@mef.edu.tr |
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ECTS Student Workload Estimation
| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 1 | 3 | 1 | 70 | ||
| Project | 1 | 25 | 1 | 26 | |||
| Homework Assignments | 10 | 2 | 1 | 1 | 40 | ||
| Midterm(s) | 2 | 8 | 2 | 1 | 22 | ||
| Total Workload | 158 | ||||||
| Total Workload/25 | 6.3 | ||||||
| ECTS | 6 | ||||||