CHINHOYI UNIVERSITY OF TECHNOLOGY GRADUATE BUSINESS SCHOOL ...

[Pages:9]CHINHOYI UNIVERSITY OF TECHNOLOGY GRADUATE BUSINESS SCHOOL

MSc Big Data Analytics 6.1(1.1) January 2022 Weekend Timetable

Registration and Certificate verification for level 6.1s ( First year students)

Weekend 1

Saturday 15 January

Sunday 16 January

Weekend 1 - Weekend 3 Analytics of Programming Analytics of Programming

Tuesday 4 ? Friday 7 January ? Certificate verification and registration on campus

Saturday 8 January ? Virtual Orientation

Weekend 2

Weekend 3

Saturday 22 January Sunday 23 January

Saturday 29 January

Sunday 30 January

Analytics of Programming Analytics of Programming

Analytics of Programming Analytics of Programming

Weekend 4 - Weekend 6 Weekend 7 - Weekend 9 Weekend 10 -Weekend 12

Weekend 4

Saturday 5 February

Sunday 6 February

Machine Learning

Machine Learning

Techniques

Techniques

Weekend 7

Saturday 26 February

Sunday 27 February

Data Visualisation

Data Visualisation

Techniques

Techniques

Weekend 10

Saturday 19 March

Sunday 20 March

Data Base Management and Data Base Management

Warehousing

and Warehousing

Weekend 5

Saturday 12 February Sunday 13 February

Machine Learning

Machine Learning Techniques

Techniques

Weekend 8

Saturday 5 March

Sunday 6 March

Data Visualisation

Data Visualisation Techniques

Techniques

Weekend 11

Saturday 26 March

Sunday 27 March

Data Base Management Data Base Management and

and Warehousing

Warehousing

Weekend 6

Saturday 19 February

Sunday 20 February

Machine Learning

Machine Learning Techniques

Techniques

Weekend 9

Saturday 12 March

Sunday 13 March

Data Visualisation

Data Visualisation Techniques

Techniques

Weekend 12

Saturday 9 April

Sunday 10 April

Data Base Management Data Base Management and

and Warehousing

Warehousing

Weekend 13 -Weekend 15 Saturday 16 April Statistical Analytics

Sunday 17 April

Saturday 23 April

Sunday 24 April

Statistical Analytics

Statistical Analytics

Statistical Analytics

Exam Dates: Monday, 16 May ? Friday, 20 May 2022

Saturday 30 April Statistical Analytics

Sunday 1 May Statistical Analytics

Note that the timetable did not prescribe lecture times. As the lectures will be delivered online, it is felt that the lecturer and the students will come up with lecture times convenient to both within each module allocated day but that should not encroach into periods allocated to other modules. As a guide, the contact time should amount to 6 hours per day and 36 hours per module.

Module

Analytics of Programming Statistical Analytics Data Base Management and Warehousing Data Visualization Techniques Machine Learning Techniques

MSCDA606 MSCDA602 MSCDA603 MSCDA604 MSCDA605

Lecturer

Ms. M. Sanyanga Mr. D. Fadaraliki Mr S.Chinofunga Dr. G. Mazambani Dr. P. Chiurunge

Teaching Assistant Mr. E. Maguvu

Mr. M. Masheka Ms. J. K. Kiwa Mr. T. Burawudi

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CHINHOYI UNIVERSITY OF TECHNOLOGY GRADUATE BUSINESS SCHOOL

MSc Big Data Analytics 6.2 (1.2) January 2022 Weekend Timetable

Weekend 1

Weekend 1 - Weekend 3 Saturday 15 January

Sunday 16 January

Econometric Analytics

Econometric Analytics

Weekend 4 - Weekend 6

Weekend 4

Saturday 5 February

Sunday 6 February

Research Methods in Data

Research Methods in

Analytics

Data Analytics

Weekend 2

Saturday 22 January Sunday 23 January

Econometric Analytics Econometric Analytics

Weekend 5

Saturday 12 February Sunday 13 February

Research Methods in Research Methods in

Data Analytics

Data Analytics

Weekend 3

Saturday 29 January

Sunday 30 January

Econometric Analytics

Econometric Analytics

Weekend 6

Saturday 19 February

Sunday 20 February

Research Methods in Data

Research Methods in Data

Analytics

Analytics

Weekend 7 ? Weekend 9

Weekend 10- Weekend 12 Weekend 13- Weekend 15

Weekend 7

Weekend 8

Saturday 26 February

Sunday 27 February Saturday 5 March

Sunday 6 March

Business Ethics and Corporate Business Ethics and

Business Ethics and

Business Ethics and

Governance

Corporate Governance Corporate Governance Corporate Governance

Weekend 10

Weekend 11

Saturday 19 March

Sunday 20 March

Saturday 26 March

Sunday 27 March

Big Data Analytics

Big Data Analytics

Big Data Analytics

Big Data Analytics

Saturday 16 April

Sunday 17 April

Saturday 23 April

Sunday 24 April

Ethical Hacking and Digital

Ethical Hacking and

Ethical Hacking and

Ethical Hacking and

Forensics

Digital Forensics

Digital Forensics

Digital Forensics

Exam Dates: Monday, 16 May ? Friday, 20 May 2022

Weekend 9

Saturday 12 March

Sunday 13 March

Business Ethics and Corporate Business Ethics and

Governance

Corporate Governance

Weekend 12

Saturday 9 April

Sunday 10 April

Big Data Analytics

Big Data Analytics

Saturday 30 April

Sunday 1 May

Ethical Hacking and Digital

Ethical Hacking and

Forensics

Digital Forensics

Note that the timetable did not prescribe lecture times. As the lectures will be delivered online, it is felt that the lecturer and the students will come up with lecture times convenient to both within each module allocated day but that should not encroach into periods allocated to other modules. As a guide, the contact time should amount to 6 hours per day and 36 hours per module.

Module MSCDA607 Econometric Analytics MSCDA608 Big Data Analytics MSCDA609 Business Ethics and Corporate Governance MSCDA610 Ethical Hacking and Digital Forensics MSCDA621 Research Methods in Data Analytics

Lecturer Dr. M. Kamoyo Eng. N. Thusabantu Prof. O. Sifile Eng. R. Shoniwa Prof. M. Tsvere

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CHINHOYI UNIVERSITY OF TECHNOLOGY GRADUATE BUSINESS SCHOOL

MSc Big Data Analytics 7.1 (2.1) January 2022 Weekend Timetable

Weekend 1

Saturday 15 January

Sunday 16 January

Weekend 1 - Weekend 3

Financial and Risk Analytics/ Parallel and Distributed

Financial and Risk Analytics/ Parallel and

Databases

Distributed Databases

Weekend 2

Saturday 22 January Sunday 23 January

Financial and Risk

Financial and Risk

Analytics/ Parallel and Analytics/ Parallel and

Distributed Databases Distributed Databases

Weekend 3

Saturday 29 January

Sunday 30 January

Financial and Risk Analytics/ Financial and Risk Analytics/

Parallel and Distributed

Parallel and Distributed

Databases

Databases

Weekend 4 - Weekend 6 Weekend 7 ? Weekend 9

Weekend 10- Weekend 12 Weekend 13- Weekend 15

Weekend 4

Weekend 5

Saturday 5 February

Sunday 6 February Saturday 12 February Sunday 13 February

Logistics and Supply Chain

Logistics and Supply

Logistics and Supply

Logistics and Supply

Analytics/ Web Mining Analytics Chain Analytics/ Web Chain Analytics/ Web Chain Analytics/ Web

Mining Analytics

Mining Analytics

Mining Analytics

Weekend 7

Weekend 8

Saturday 26 February

Sunday 27 February Saturday 5 March

Sunday 6 March

Marketing and Customer

Marketing and

Marketing and Customer Marketing and Customer

Analytics/ Network Protocols

Customer Analytics/

Analytics/ Network

Analytics/ Network

Network Protocols

Protocols

Protocols

Weekend 10

Weekend 11

Saturday 19 March

Sunday 20 March

Saturday 26 March

Sunday 27 March

Business Intelligence Analytics/ Business Intelligence Business Intelligence Business Intelligence

Cloud Computing

Analytics/ Cloud

Analytics/ Cloud

Analytics/ Cloud

Computing

Computing

Computing

Saturday 16 April

Sunday 17 April

Saturday 23 April

Sunday 24 April

Project Management

Project Management

Project Management

Exam Dates: Monday, 16 May ? Friday, 20 May 2022

Weekend 6

Saturday 19 February

Sunday 20 February

Logistics and Supply Chain

Logistics and Supply Chain

Analytics/ Web Mining

Analytics/ Web Mining

Analytics

Analytics

Weekend 9

Saturday 12 March

Sunday 13 March

Marketing and Customer

Marketing and Customer

Analytics/ Network Protocols Analytics/ Network Protocols

Weekend 12

Saturday 9 April

Sunday 10 April

Business Intelligence

Business Intelligence

Analytics/ Cloud Computing Analytics/ Cloud Computing

Saturday 30 April Project Management

Sunday 1 May Project Management

Note that the timetable did not prescribe lecture times. As the lectures will be delivered online, it is felt that the lecturer and the students will come up with lecture times

convenient to both within each module allocated day but that should not encroach into periods allocated to other modules. As a guide, the contact time should amount to 6 hours

per day and 36 hours per module.

Module

Lecturer

Teaching Assistant

MSCDA 611 Logistics and Supply Chain Analytics MSCDA 612 Financial and Risk Analytics

Mr. H. Mazhokota Dr. S. Makurumidze

Mr. G. Mbizo

MSCDA 613 Business Intelligence Analytics

Mr. H. Mazhokota

Mr. G. Mbizo

MSCDA 614 Marketing and Customer Analytics

Mr. W. Kanyongo

MSCDA 615 Project management Analytics

Dr. T. Masamha

MSCDA 616 Cloud Computing

Mr S. Chinofunga

Mr. M. Masheka

MSCDA 617 Web Mining Analytics

Dr. T. Masamha

Mr. E. Maguvu

MSCDA 618 Parallel and Distributed Databases

Mr. P.H. Mastara

MSCDA 619 Network Protocols

Mr. A. Dikito

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CHINHOYI UNIVERSITY OF TECHNOLOGY GRADUATE BUSINENESS SCHOOL

MSc Big Data Analytics 6.1(1.1) January 2022 Block Timetable

Registration and Certificate verification for level 6.1s ( First year students)

Week 1

MONDAY

TUESDAY

10-16 January

Week 2

17-23 January Week 3 and 4 24 January to 6 February

Machine Learning Techniques Machine Learning

Techniques

Machine Learning Techniques Data Visualisation

Techniques

Tuesday 4 ? Friday 7 January ? Certificate verification and registration on campus

Saturday 8 January ? Virtual Orientation

WEDNESDAY

THURSDAY

FRIDAY

Machine Learning Techniques Data Visualisation

Techniques

Machine Learning Techniques Machine Learning Techniques Data Visualisation Techniques Data Visualisation Techniques

SATURDAY & SUNDAY

Independent study

Independent study

Two Weeks Break

Week 5 7- 13 February

Data Visualisation Techniques

Data Visualisation Techniques

Data Base Management and Warehousing

Data Base Management and Warehousing

Data Base Management and Warehousing

Independent study

Week 6 14-20 February

Data Base Management Data Base Management

and Warehousing

and Warehousing

Data Base Management and Warehousing

Analytics of Programming

Analytics of Programming

Independent study

Week 7 and 8 21 February ? 6 March

Two Weeks Break

Week 9 7- 13 March

Analytics of Programming

Analytics of Programming Analytics of Programming Analytics of Programming

Statistical Analytics

Independent study

Week 10 14 ? 20 March

Statistical Analytics

Statistical Analytics

Statistical Analytics

Statistical Analytics

Statistical Analytics

Independent study

Exam Dates: Monday, 16 May ? Friday, 20 May 2022

Note that the timetable did not prescribe lecture times. As the lectures will be delivered online, it is felt that the lecturer and the students will come up with lecture times convenient to both within each module allocated day but that should not encroach into periods allocated to other modules. As a guide, the contact time should amount to 6 hours per day and 36 hours per module.

4

Module

Analytics of Programming Statistical Analytics Data Base Management and Warehousing Data Visualization Techniques Machine Learning Techniques

MSCDA606 MSCDA602 MSCDA603 MSCDA604 MSCDA605

Lecturer

Ms. M. Sanyanga Mr. D. Fadaraliki Mr S.Chinofunga Dr. G. Mazambani Dr. P. Chiurunge

Teaching Assistant Mr. E. Maguvu

Mr. M. Masheka Ms. J. K. Kiwa Mr. T. Burawudi

5

CHINHOYI UNIVERSITY OF TECHNOLOGY GRADUATE BUSINENESS SCHOOL

MSc Big Data Analytics 6.2(1.2) January 2022 Block Timetable

Week 1 10-16 January

MONDAY Research Methods in Data Analytics

TUESDAY Research Methods in Data Analytics

WEDNESDAY

THURSDAY

Research Methods in Data Research Methods in Data

Analytics

Analytics

Week 2

17-23 January Week 3 and 4 24 January to 6 February

Research Methods in Data Analytics

Business Ethics and Business Ethics and Corporate governance Corporate governance

Business Ethics and Corporate governance

Two Weeks Break

Week 5 7- 13 February

Business Ethics and Corporate governance

Business Ethics and Ethical Hacking and Digital Ethical Hacking and Digital

Corporate governance Forensics

Forensics

Week 6 14-20 February

Ethical Hacking and Digital Ethical Hacking and

Forensics

Digital Forensics

Ethical Hacking and Digital Big Data Analytics Forensics

Week 7 and 8 21 February ? 6 March

Two Weeks Break

Week 9 7- 13 March

Big Data Analytics

Big Data Analytics

Big Data Analytics

Big Data Analytics

Week 10 14 ? 20 March

Econometric Analytics

Econometric Analytics Econometric Analytics

Econometric Analytics

Exam Dates: Monday, 16 May ? Friday, 20 May 2022

FRIDAY

SATURDAY & SUNDAY

Research Methods in Data Analytics Independent study

Business Ethics and Corporate governance

Independent study

Ethical Hacking and Digital Forensics

Big Data Analytics

Independent study Independent study

Econometric Analytics Econometric Analytics

Independent study Independent study

Note that the timetable did not prescribe lecture times. As the lectures will be delivered online, it is felt that the lecturer and the students will come up with lecture times convenient to both within each module allocated day but that should not encroach into periods allocated to other modules. As a guide, the contact time should amount to 6 hours per day and 36 hours per module.

6

Module MSCDA607 Econometric Analytics MSCDA608 Big Data Analytics MSCDA609 Business Ethics and Corporate Governance MSCDA610 Ethical Hacking and Digital Forensics MSCDA621 Research Methods in Data Analytics

Lecturer Dr. M. Kamoyo Eng. N. Thusabantu Prof. O. Sifile Eng. R. Shoniwa Prof. M. Tsvere

7

CHINHOYI UNIVERSITY OF TECHNOLOGY GRADUATE BUSINENESS SCHOOL

Week 1 10-16 January

MONDAY Project Management Analytics

MSc Data Analytics 7.1 (2.1) January 2022 Block Timetable

TUESDAY

WEDNESDAY

THURSDAY

Project Management

Project Management

Project Management

Analytics

Analytics

Analytics

FRIDAY

SATURDAY & SUNDAY

Project Management Analytics Independent study

Week 2

17-23 January Week 3 and 4 24 January to 6 February Week 5

7- 13 February

Project Management Analytics

Business Intelligence Analytics/ Cloud Computing

Business Intelligence Analytics/ Cloud Computing

Business Intelligence Analytics/ Cloud Computing

Business Intelligence

Business Intelligence

Business Intelligence Analytics/ Independent study

Analytics/ Cloud Computing Analytics/ Cloud Computing Cloud Computing

Two Weeks Break

Marketing and Customer

Marketing and Customer

Analytics/ Network Protocols Analytics/ Network Protocols

Marketing and Customer Analytics/ Network Protocols

Independent study

Week 6 14-20 February

Marketing and Customer Analytics/ Network Protocols

Marketing and Customer Analytics/ Network Protocols

Marketing and Customer Analytics/ Network Protocols

Logistics and Supply Chain Analytics/ Web Mining Analytics

Logistics and Supply Chain Analytics/ Web Mining Analytics

Independent study

Week 7 and 8 21 February ? 6 March Week 9 7- 13 March

Logistics and Supply Chain Analytics/ Web Mining Analytics

Logistics and Supply Chain Analytics/ Web Mining Analytics

Two Weeks Break

Logistics and Supply Chain Analytics/ Web Mining Analytics

Logistics and Supply Chain Analytics/ Web Mining Analytics

Financial and Risk Analytics/ Parallel and Distributed Databases

Independent study

Week 10 14 ? 20 March

Financial and Risk Analytics/ Parallel and Distributed Databases

Financial and Risk Analytics/ Parallel and Distributed Databases

Financial and Risk Analytics/ Parallel and Distributed Databases

Financial and Risk Analytics/ Parallel and Distributed Databases

Financial and Risk Analytics/ Parallel and Distributed Databases

Independent study

Exam Dates: Monday, 16 May ? Friday, 20 May 2022

Note that the timetable did not prescribe lecture times. As the lectures will be delivered online, it is felt that the lecturer and the students will come up with lecture times convenient to both within each module allocated day but that should not encroach into periods allocated to other modules. As a guide, the contact time should amount to 6 hours per day and 36 hours per module.

8

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