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 CEMAL OKAN ŞAKAR |
Course Lecturer(s): |
Prof. Dr. TAŞKIN KOÇAK
Dr. Öğr. Üyesi CEMAL OKAN ŞAKAR
|
Recommended Optional Program Components: |
None |
Course Objectives: |
The students will take lectures from senior executives from IBM. Each lecture will focus on a different subject and the lecturer will share his/her own experiences together with the theoretical basis of the subject.
The courses will include Business Analytics & Big Data capabilities and service areas including key concepts, services, IBM software, hardware offerings and IBM assets. In addition, industry use cases are used to illustrate effective use of Big Data services. The courses will help students to prepare for a successful professional career. |
Week |
Subject |
Related Preparation |
1) |
Big Data & Analytics for Better Business Outcomes |
|
2) |
Industry Aligned Big Data, Top Use Cases |
|
3) |
Overview of Big Data Technology & IBM Big Data Platform |
|
4) |
IBM Big Data Platform, Data Explorer |
|
5) |
Data Warehousing |
|
6) |
Information Integration, Master Data Management, Guardium, OPTIM |
|
7) |
Hadoop Technology |
|
8) |
Midterm |
|
9) |
Master Data Management for Customer |
|
10) |
Integrating Unstructured Data in the Enterprise |
|
11) |
Text Analytics |
|
12) |
Infrastructure for Big Data & Analytics |
|
13) |
Infrastructure for Big Data & Analytics |
|
14) |
Recap |
|
|
Program Outcomes |
Level of Contribution |
1) |
Build up a body of knowledge in mathematics, science and Energy Systems Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. |
|
2) |
Ability to identify, formulate, and solve complex Energy Systems Engineering problems; select and apply proper modeling and analysis methods for this purpose.
|
|
3) |
Ability to design complex Energy systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. |
|
4) |
Ability to devise, select, and use modern techniques and tools needed for solving complex problems in Energy Systems Engineering practice; employ information technologies effectively. |
|
5) |
Ability to design and conduct numerical or pysical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Energy Systems Engineering. |
|
6) |
Ability to cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Energy Systems-related problems |
|
7) |
Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions. |
|
8) |
Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself. |
|
9) |
Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Energy Systems Engineering applications. |
|
10) |
Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. |
|
11) |
Acquire knowledge about the effects of practices of Energys Systems Engineering on health, environment, security in universal and social scope, and the contemporary problems of Energys Systems engineering; is aware of the legal consequences of Energys Systems engineering solutions. |
|