| 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) |
Have sufficient background in mathematics, science and artificial intelligence engineering. |
|
| 2) |
Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. |
|
| 3) |
Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. |
|
| 4) |
Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction. |
|
| 5) |
Select and use modern techniques and tools necessary for engineering applications. |
|
| 6) |
Design and conduct experiments, collect data, and analyse and interpret results. |
|
| 7) |
Work effectively both as an individual and as a multi-disciplinary team member. |
|
| 8) |
Access information via conducting literature research, using databases and other resources |
|
| 9) |
Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning. |
|
| 10) |
Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field. |
|
| 11) |
Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level. |
|
| 12) |
Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age. |
|
| 13) |
Have a sense of professional and ethical responsibility. |
|
| 14) |
Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices. |
|
BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
