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) |
Adequate knowledge in mathematics, science and electric-electronic engineering subjects; ability to use theoretical and applied information in these areas to model and solve engineering problems. |
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2) |
Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. |
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3) |
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.) |
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4) |
Ability to devise, select, and use modern techniques and tools needed for electrical-electronic engineering practice; ability to employ information technologies effectively. |
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5) |
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems. |
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6) |
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. |
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7) |
Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. |
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8) |
Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. |
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9) |
Awareness of professional and ethical responsibility. |
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10) |
Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. |
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11) |
Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions. |
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