STATISTICS SHORT COURSES FROM 9TH SEPTEMBER UP TO 20TH SEPTEMBER 2019 TO BE HELD IN SUALISA CONFERENCE ROOM AT iAGRI BUILDING-SUA MAIN CAMPUS

Sokoine University of Agriculture Laboratory for Interdisciplinary Statistical Analysis (SUALISA) would like to announce to the SUA community and to the general public that it will offer short courses in statistics between 9th September up to 20th September 2019.

During the said short courses, SUALISA would also receive/listen to  special needs by different researchers within the campus and outside the campus.You are highly encouraged to bring specific research problems for further discussion.

Registration for the short course
The registration fee is 20,000/=Tshs, per a day. Registration would be made upon your arrival in a venue at iAGRI building. Please notice that the fee does not cover cost for lunch. Each peson will cover his/her own cost for lunch. Contact   Maria Celestine via the following address to confirm your participation. 
Email:   mary.b.celestine@gmail.com
Mobile: 0713-301033

Who should attend? Any scholar/researcher such as a  postgraduate student or  instructor is highly encouraged to attend. You are all welcomed to attend.

How you will benefit from the course(s): Each course will provide participants with practical skills to be able to effectively implement a real-life related problem needing statistical skills application.

Venue: The venue for all of these courses would be in iAGRI building
 

TIMETABLE

Date

Time

Session

Trainer

09/09/2019

9am to 11am

Introduction to SPSS and STATA

Dr.Kazuzuru

 

11am to 12pm

Practicals on SPSS and STATA

Statistician from UDOM

 

12pm  to  1pm

Lunch Break

 

 

1pm    to  3pm

Introduction to Matlab

Mr. Japhet Mwanzige

10/09/2019

9am to 11am

Introduction to Linear programming using Matlab

Mr. Japhet Mwanzige

 

11am-12pm

Practicals on linear programing

Mr.Japhet Mwanzige

 

12pm to 1pm

Lunch Break

 

 

1pm   to 3 pm

Introduction  to Time series Analysis using SPSS

Mr.Goodluck Mtae/

Felicity Ford

11/09/2019

9am to 11am

Inroduction to time series using STATA

Mr.Goodluck Mtae/

Felicity Ford

 

11am to 12pm

Introduction to Statistical Quality Control

Mr.Othman Jumbe

 

12pm to 1pm

Lunch Brak

 

 

1pm to 3pm

Introduction to statistical quality control

Mr.Othmani Jumbe

12/09/2019

9an-11am

Introduction to R

Mr.Emanuel Msemo

 

11am-12pm

Introduction to R

Mr.Emanuel Msemo

 

12pm -1pm

Lunch Break

 

 

1pm- 3pm

Introduction to R

Mr.Emanuel Msemo

13/09/2019

9am-11am

Analysis with R

Mr.Emanuel Msemo

 

11am-12pm

Analysis with  R

Mr.Emanuel Msemo

 

12pm-1pm

Lunch break

All

 

1pm- 3pm

Analysis with R

Mr.Emanuel Msemo

 

3pm-  6pm

MEETING CLIENTS WITH SPECIAL NEEDS

Dr.Kazuzuru

16/09/2019

9am-11am

Survey designs

Dr.Kazuzuru/Udom Statisticians

 

11am to 12pm

Analysis of survey data

Dr.Kazuzuru/Udom Statisticians

 

12pm to 1pm

Lunch break

 

 

1pm-3pm

Sample size calculation

Dr.Kazuzuru

17/09/2019

9am-11am

Introduction to design of experiment

Mr.Emanuel Msemo

 

11am-12pm

Introduction to design of experiments

Mr.Emanuel Msemo

 

12pm-1pm

Lunch break

 

 

1pm-3pm

Analysis of design of experiements using R/GENSTAT

Mr.Emanuel Msemo

1809/2019

9am-11am

Introduction to Impact evalution

Dr.Kazuzuru

 

 11am-12pm

Introduction to multiple linear regression as a method for Impact evaluation

Dr.Kazuzuru

 

12pm-1pm

Lunch break

 

 

1pm-3pm

Introduction to propensity score matching

Dr.Kazuzuru

19/09/2019

9am-11am

Introduction to difference in difference method

Dr.Kazuzuru

 

11am-12pm

Introduction to difference in difference method

Dr.Kazuzuru

 

12pm-1pm

Lunch break

 

 

1pm-3pm

Introduction to Randmized control Trials (RCT)

Dr.Kazuzuru

20/09/2019

9am-11am

Introduction to binary logidic and probit regression

Dr.Kazuzuru

 

11am-12pm

Introduction to binary and probit regression

Dr.Kazuzuru

 

12pm-1pm

Lunch break

 

 

1pm-3pm

 

MEETING CLIENTS WITH SPECIAL NEEDS

Dr.Kazuzuru

 

3pm-6pm

Mr.Emanuel Msemo

 

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