Language of instruction: |
English |
Type of course: |
Non-Departmental Elective |
Course Level: |
Bachelor’s Degree (First Cycle)
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Mode of Delivery: |
Face to face
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Course Coordinator : |
Dr. Öğr. Üyesi CEMAL OKAN ŞAKAR |
Course Lecturer(s): |
Prof. Dr. TAŞKIN KOÇAK
Dr. Öğr. Üyesi CEMAL OKAN ŞAKAR
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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 |
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2) |
Industry Aligned Big Data, Top Use Cases |
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3) |
Overview of Big Data Technology & IBM Big Data Platform |
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4) |
IBM Big Data Platform, Data Explorer |
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5) |
Data Warehousing |
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6) |
Information Integration, Master Data Management, Guardium, OPTIM |
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7) |
Hadoop Technology |
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8) |
Midterm |
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9) |
Master Data Management for Customer |
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10) |
Integrating Unstructured Data in the Enterprise |
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11) |
Text Analytics |
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12) |
Infrastructure for Big Data & Analytics |
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13) |
Infrastructure for Big Data & Analytics |
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14) |
Recap |
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Program Outcomes |
Level of Contribution |
1) |
Develop close interest in human mind and behavior, and attain critical thinking skills (in particular the ability to evaluate psychological theories using empirical evidence), as well as appreciating psychology as an evidence based science. |
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2) |
Gain a biopsychosocial understanding of human behavior, namely, the biological, psychological, social determinants of behavior. |
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3) |
Acquire theoretical and applied knowledge and learn about basic psychological concepts and perspectives |
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4) |
Familiarize with methodology and data evaluation techniques by being aware of scientific research methods (i.e. correlational, experimental, longitudinal, case study). |
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5) |
Employ ethical sensitivity while doing assessment, research or working with groups. |
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6) |
Familiarize with the essential perspectives of psychology (cognitive, developmental, clinical, social, behavioral, and biological). |
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7) |
Get the opportunity and skills to evaluate qualitative and quantitative data, write reports, and present them. |
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8) |
Attain preliminary knowledge for psychological measurement and evaluation. |
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9) |
To have a basic knowledge of other disciplines (e.g. sociology, history, political science, communication studies, philosophy, anthropology, literature, law, art, etc) that can contribute to psychology and to be able to make use of this knowledge in understanding and interpreting of psychological process. |
3 |