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 |
Ders Genel Tanıtım Bilgileri
| 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 | Flipped Classroom | ||||
| Level of Course | Seçiniz | ||||
| Semester | Spring | ||||
| Contact Hours per Week |
|
||||
| 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 |
||||
| Expected Prior Knowledge | Data Structures and Algorithms | ||||
| Co-requisites | None | ||||
| 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 Description in Turkish | Günümüzün hızla gelişen BT ortamında, bulut bilişim en önemli konulardan biri haline gelmiştir ve bu ders, bulut mühendisliği rollerinde başarılı olmak için gereken kavramlara, araçlara ve en iyi uygulamalara derinlemesine bir bakış sağlamaktadır. Bulut Mühendisliği, öğrencileri bulut tabanlı çözümleri etkili bir şekilde tasarlamak ve yönetmek için gereken bilgi ve becerilerle donatmak üzere tasarlanmış kapsamlı bir derstir. |
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,HW,Participation |
| 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 | Participation |
| 10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | HW,Participation |
| 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,HW |
| 13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,HW |
| 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 computers | ||||||||||||||||||
| Homework and Projects | Term project | ||||||||||||||||||
| Laboratory Work | |||||||||||||||||||
| Computer Use | For hands-on experience based in-class act' | ||||||||||||||||||
| Other Activities | |||||||||||||||||||
| Assessment Methods |
|
||||||||||||||||||
| Course Administration |
bekmezcii@mef.edu.tr |
||||||||||||||||||
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 | ||||||