Training details:
Stata II (Basic Econometrics Using Stata)
Facilitator/s:
Ms. Marife Lou L. Bacate
Date/s:
October 21 & 28, 2023
Time:
11:30 PM โ 2:30 PM (AM session) and 3:30 PM โ 5:30 (PM session)
Venue:
Virtual via Zoom
Other Details:
None
This is an online training; Participants are expected to attend both sessions (AM & PM sessions). Priority will be given to students in advanced econometrics courses and thesis writers (Econ 199, Econ 300 and Econ 400). Others will be accommodated depending on the available slots.
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Training details:
Stata I (Introduction to Stata)
Facilitator/s:
Ms. Marife Lou L. Bacate
Date/s:
October 7 & 14, 2023
Time:
11:30 PM โ 2:30 PM (AM session) and 3:30 PM โ 5:30 (PM session)
Venue:
Virtual via Zoom
Other Details:
None
This is an online training; Participants are expected to attend both sessions (AM & PM sessions). Priority will be given to new economics students (Econ 131 and Econ 231) and new UPSE graduate students. Others will be accommodated depending on the available slots.
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Training details:
R for Beginners
Facilitator/s:
Mr. Thadeus Alvirey S. Tayona
Date/s:
April 24 & 29, 2023 | May 6, 18, 13 & 15, 2023
Time:
9:00 AM โ 12:00 NN (Mondays) | 1:00 โ 4:00 PM (Saturdays)
Venue:
Virtual via Zoom
This is a 20-hour course. Participants are expected to attend all sessions. Students currently enrolled or are planning to enroll in Econ 132 are encouraged to join. Limited slots only. Non-UPSE students may be accommodated depending on the available slots
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Training details:
Stata I (Introduction to Stata)
Facilitator/s:
Ms. Marife Lou L. Bacate
Date/s:
March 14, 21 and 28, 2023
Time:
4:00 PM - 7:00 PM
Venue:
RM 127 (Sergio & Beatriz Ordoรฑez lecture room), Encarnacion Building
Other Details:
None
This is a hybrid training with F2F (March 14) and fully online components (March 21 & 28).Priority will be given to new econometrics students (Econ 131, Econ 232) and new UPSE graduate students. Others will be accommodated depending on the available slots.
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Training details:
Stata II (Basic Econometrics Using Stata)
Facilitator/s:
Ms. Marife Lou L. Bacate
Date/s:
March 13, 20, and 27, 2023
Time:
9:00 AM - 12:00 NN
Venue:
RM 127 (Sergio & Beatriz Ordoรฑez lecture room), Encarnacion Building
Other Details:
None
This is a hybrid training with F2F (March 13) and fully online components (March 20 & 27). Priority will be given to students in higher econometrics courses (Econ 132, Econ 138, Econ 232, Econ 233), thesis writers, and students in advanced graduate courses (Econ 241, Econ 298, DE 253, DE 292). Others will be accommodated depending on the available slots.
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Training details:
R for Beginners
Facilitator/s:ย
Ms. Charlene Mae Y. Celoso
Date/s:
ย October 24 & 31, 2022 | November 7, 14, & 21, 2022
Time:ย ย
Venue:ย
Virtual via Zoom
Other Details:
None
Limited slots only. Students planning to take Econ 132 are encouraged to join. Non-UPSE students may be accommodated depending on the available slots.
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Training details:
Stata II (Basic Econometrics Using Stata)
Facilitator/s:
Mr. Jhiedon Florentino
Date/s:
October 8, 15 and 22, 2022
Time:
9:00 AM - 12:00 NN
Venue:
CMFE Lobby 3rd Floor UPSE Library Building
Other details:
None
This is a hybrid training with online and F2F participants. Priority will be given to UPSE undergraduate and graduate students who are writing their theses.
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Training details:
Stata I (Introduction to Stata)
Facilitator/s:
Mr. Jhiedon Florentino
Date/s:
September 17, 24, | October 1, 2022
Time:
9:00 AM - 12:00 NN
Venue:
CMFE Lobby 3rd Floor UPSE Library Building
This is a hybrid training with online and F2F participants. Priority will be given to Econ 131 and new graduate students.
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Training details:
Basic Matlab for UPSE Students
Facilitator/s:
Dr. Gino Angelo Velasco
Date/s:ย
April 23 & 30, 2022 | May 7 & 14, 2022
Time:
ย 8:30 โ 11:30 AM (AM Session) | 1:30 โ 4:30 PM (PM Session)
Venue:ย
Virtual via Zoom
Other Details:
ย None
This 24-hour course, segmented into four sessions,ย familiarized the participants with the basics of Matlab, visualization, econometrics, optimization, ODEs, machine learning, and symbolic math.
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