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) |
Build up a body of knowledge in mathematics, science and engineering subjects; use theoretical and applied information in these areas to model and solve engineering problems. |
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2) |
identify, formulate, and solve complex engineering problems; select and apply proper analysis and modeling methods for this purpose. |
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3) |
Design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; 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) |
Devise, select, and use modern techniques and tools needed for engineering management practice; employ information technologies effectively. |
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5) |
Design and conduct experiments, collect data, analyze and interpret results for investigating engineering management problems. |
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6) |
Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working independently. |
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7) |
Demonstrate effective communication skills in both oral and written English and Turkish. |
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8) |
Recognize the need for lifelong learning; show ability to access information, to follow developments in science and technology, and to continuously educate him/herself. |
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9) |
Develop an awareness of professional and ethical responsibility. |
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10) |
Know business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. |
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11) |
Know contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; recognize the legal consequences of engineering solutions. |
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12) |
Develop effective and efficient managerial skills. |
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