DATA ANALYTICS (Turkish-Master's Thesis)

LEVEL: Master's Degree, TYYÇ: Level 7, EQF-LLL: Level 7, QF-EHEA: Second Cycle

#Programme Learning Outcomes
Knowledge
Theoretical and/or factual knowledgeAimObjective%
11
1Doing scientific research on Data Analytics; ability to evaluate, interpret and apply knowledge
2Ability to design and collect data, analyze, report and implement experimental results
Skills
Cognitive and/or practical skillsAimObjective%
11
1Ability to design new and original ideas, methods, systems, processes and solutions to meet the desired needs under realistic constraints such as economic, environmental, social, political, ethical, health and safety, producibility, sustainability
2Ability to work in individual and interdisciplinary teams, to be able to lead and to be able to help with team members effectively
Personal & Occupational Competences In Terms Of Each Of The Following Groups
Autonomy & ResponsibilityAimObjective%
11
1Ability to identify, formulate and solve Data Analytics problems; ability to select and apply modern techniques and modeling techniques for this purpose
2Ability to use information technologies and at least one computer software effectively
Learning to LearnAimObjective%
11
1Ability to have universal and professional ethical responsibility
2Ability to gain awareness on health, environment, security and legal effects of universal and social dimensions of Data Analytics applications
Communication & SocialAimObjective%
11
1Awareness of the necessity of lifelong learning; ability to access and transfer information, to follow developments in science and technology and to renew himself continuously
2Ability to communicate effectively in oral and written form; To be able to follow the technical innovations and terminology
Occupational and/or VocationalAimObjective%
11
1Project organization and management and information about business life; awareness of entrepreneurship, innovation and sustainable development
Relationship Percentage
*Level of Contribution (0 - 5) : 0-None, 1-Very Low, 2-Low, 3-Medium, 4-High, 5-Very High
#Programme Learning Outcomes
Knowledge
Theoretical and/or factual knowledgeAimObjective
11
1Doing scientific research on Data Analytics; ability to evaluate, interpret and apply knowledge
2Ability to design and collect data, analyze, report and implement experimental results
Skills
Cognitive and/or practical skillsAimObjective
11
1Ability to design new and original ideas, methods, systems, processes and solutions to meet the desired needs under realistic constraints such as economic, environmental, social, political, ethical, health and safety, producibility, sustainability
2Ability to work in individual and interdisciplinary teams, to be able to lead and to be able to help with team members effectively
Personal & Occupational Competences In Terms Of Each Of The Following Groups
Autonomy & ResponsibilityAimObjective
11
1Ability to identify, formulate and solve Data Analytics problems; ability to select and apply modern techniques and modeling techniques for this purpose
2Ability to use information technologies and at least one computer software effectively
Learning to LearnAimObjective
11
1Ability to have universal and professional ethical responsibility
2Ability to gain awareness on health, environment, security and legal effects of universal and social dimensions of Data Analytics applications
Communication & SocialAimObjective
11
1Awareness of the necessity of lifelong learning; ability to access and transfer information, to follow developments in science and technology and to renew himself continuously
2Ability to communicate effectively in oral and written form; To be able to follow the technical innovations and terminology
Occupational and/or VocationalAimObjective
11
1Project organization and management and information about business life; awareness of entrepreneurship, innovation and sustainable development
*Level of Contribution
0-None
1-Very Low
2-Low
3-Medium
4-High
5-Very High
#Programme Learning Outcomes
Knowledge
Theoretical and/or factual knowledgeAimObjective%
11
1Doing scientific research on Data Analytics; ability to evaluate, interpret and apply knowledgeOO
2Ability to design and collect data, analyze, report and implement experimental resultsOO
Skills
Cognitive and/or practical skillsAimObjective%
11
1Ability to design new and original ideas, methods, systems, processes and solutions to meet the desired needs under realistic constraints such as economic, environmental, social, political, ethical, health and safety, producibility, sustainabilityOO
2Ability to work in individual and interdisciplinary teams, to be able to lead and to be able to help with team members effectivelyOO
Personal & Occupational Competences In Terms Of Each Of The Following Groups
Autonomy & ResponsibilityAimObjective%
11
1Ability to identify, formulate and solve Data Analytics problems; ability to select and apply modern techniques and modeling techniques for this purposeOO
2Ability to use information technologies and at least one computer software effectivelyOO
Learning to LearnAimObjective%
11
1Ability to have universal and professional ethical responsibilityOO
2Ability to gain awareness on health, environment, security and legal effects of universal and social dimensions of Data Analytics applicationsOO
Communication & SocialAimObjective%
11
1Awareness of the necessity of lifelong learning; ability to access and transfer information, to follow developments in science and technology and to renew himself continuouslyOO
2Ability to communicate effectively in oral and written form; To be able to follow the technical innovations and terminologyOO
Occupational and/or VocationalAimObjective%
11
1Project organization and management and information about business life; awareness of entrepreneurship, innovation and sustainable developmentOO
Relationship Percentage
*Level of Contribution (0 - 5) : 0-Empty, X-Available