2024 Semester 2 Timetable

2024 DEPM proposed timetable

SEMESTER TWO: 22 JULY – 18 OCTOBER 2024

(MID-SEMESTER BREAK: 23 – 27 SEPTEMBER 2024)

Please check the Moodle site for updated information and block day times for each individual Unit.

UNIT TITLE COORDINATOR MODE DATE/
TIME
VENUE
MPH5003 Global health virtual practicum Basia Diug Online Online Online
MPH5022 Evaluating public health programs Elisha De Valle Online + 3 block days 14 AUG,
4 SEP +
2 OCT
553-SKR-Conf-Rms-1–2
MPH5040/
6040
Introductory epidemiology
(On-campus)
Danijela Gasevic /
Nazmul Karim
On-campus weekly workshops Fridays,
2:30pm–4:30pm
MonAlf-Lec-Th
MPH5040/
6040
Introductory epidemiology
(Online)
Danijela Gasevic /
Nazmul Karim
Online weekly workshops Fridays,
10:30am–12:30pm
Online
MPH5041/
6041
Introductory biostatistics
(On-campus)
Baki Billah On-campus weekly seminar Fridays,
9am–11am
MonAlf-Lec-Th
MPH5041/
6041
Introductory biostatistics
(On-campus)
Baki Billah On-campus weekly tutorial Fridays,
11am–1pm
MonAlf-Tute-Rms-5–8
MPH5041/
6041
Introductory biostatistics
(Online)
Baki Billah Online – weekly Mondays,
10am–12pm
Online
MPH5042 Climate change and public health Karen Richards Online + 3 block days 22 JUL,
2 SEP +
7 OCT
553-SKR-Conf-Rms-1–2
MPH5203 Environmental influences on health* Ewan MacFarlane Online + 3 block days 21, 22 & 23 AUG 553-SKR-Conf-Rms-1–3
MPH5213 Research methods
(On-campus)
Anita Wluka Weekly seminar Thursdays,
9am–10am
MonAlf-Lec-Th
MPH5213 Research methods
(On-campus)
Anita WlukaWeekly tutorial Thursdays,
10am–11am
MonAlf-Tute-Rms-5–8
MPH5213 Research methods
(Online)
Anita Wluka Online – weekly Thursdays,
4pm–6pm
Online
MPH5214 Demographic methods Michael Leach Online Online Online
MPH5215/
6215 
Qualitative research methods Tess Tsindos Online + 3 block days 12 AUG,
2 SEP +
30 SEP
553-SKR-Conf-Rm-3
MPH5218 Infectious diseases: Epidemiology and prevention Steph Main /
Sarah McGuinness
Online + 3 block days 23 JUL,
13 AUG +
10 SEP
553-SKR-Conf-Rms-1–2
MPH5221 Determining value for money in health care Lidia Engel /
Mary Chatterton
Online + 3 block days 11, 12 & 13 SEP 553-SKR-Conf-Rms-1–2
MPH5222 Assessment and control of workplace hazards* Geza Benke Online +  3 block days 21, 22 & 23 AUG 553-SKR-Conf-Rms-1–3
MPH5223Social and cultural determinants of healthCharles LivingstoneOnline + 1 block day11 SEP553-SKR-Board-Rm
MPH5239 Systematic reviews and meta-analysis Renea Johnston Online + 3 block days 24 JUL,
18 SEP +
16 OCT
553-SKR-Conf-Rm-3
MPH5244 Humans, work and physical hazards* Helen Kelsall Online + 3 block days 19, 20 & 21 AUG 553-SKR-Conf-Rms-1–3
MPH5256 Injury epidemiology and prevention Belinda Gabbe/
Ben Beck
Online + 5 block days 8 – 12 JUL 553-SKR-Conf-Rms-1–2
MPH5265 Law for health systems Jo-Anne Mazzeo Online + 2 block days 29 JUL
+ 26 AUG
Online
MPH5266 Clinical leadership and management Peter Bradford Online + 2 block days 23 JUL
+ 27 AUG
553-SKR-Conf-Rm-3
MPH5270 Advanced statistical methods for clinical research Arul Earnest Online + 3 block days 16 AUG,
3 SEP +
1 OCT
553-SKR-Conf-Rms-1–2
MPH5272 Principles of health systems Zahra Aziz Online + 3 block days 5 AUG,
16 SEP +
8 OCT
553-SKR-Conf-Rms-1–2
MPH5273 Case study in health services management** Chris Moran Online + 1 block day 13 AUG 553-SKR-Conf-Rm-3
MPH5274 Public health practicum Dianna Magliano DE DE Online
MPH5283 Ethics, good research practice and practical research methods Liz Bishop Online + 1 block day 6 AUG 553-SKR-Conf-Rms-1–2
MPH5288 Public health fundamentals Holly Wild Online + 3 block days 7 AUG,
28 AUG
+ 9 OCT
553-SKR-Conf-Rms-1–3
MPH5289 Professional practice development Elisha de Valle Online – weekly Fridays,
10am–11am
Online
OTHER UNITS TITLE COORDINATOR MODE DATE/TIME/NOTES
EPM5003 Principles of statistical inference See BCA website DE For Biostatistics course students only
EPM5004 Linear models Stephane Heritier DE For Biostatistics course students only
EPM5005 Data management and statistical computing See BCA website DE For Biostatistics course students only
EPM5007 Design of randomised controlled trials See BCA website DE For Biostatistics course students only
EPM5012BioinformaticsSee BCA websiteDEFor Biostatistics course students only
EPM5013 Bayesian statistical methods See BCA website DE For Biostatistics course students only
EPM5014 Probability and distribution theory Rory Wolfe DE For Biostatistics course students only
EPM5015 Biostatistics practical project (single unit) Andrew Forbes DE For Biostatistics course students only
EPM5017 Machine learning for biostatistics Armando Teixeira DE For Biostatistics course students only
EPM5026 Foundations of biostatistics Andrew Forbes DE For Biostatistics course students only
EPM5027 Regression modelling for biostatistics I Stephane Heritier Online, weeklyThursdays, 9am–11am
EPM5028 Regression modelling for biostatistics II Andrew Forbes DE For Biostatistics course students only
EPM5031 Health data analytics project Joanna Dipnall On-campus, weeklyFor Health Data Analytics course students only
EPM5032 Applied health data analytics group case study Joanna Dipnall On-campus, weeklyThursdays, 10am–11am (MonAlf-Sem-Rm-2)
MAP5000# Research in advanced health professional practice Stella Talic Online  
MAP5010# Advanced health practice research project Stella Talic Online  

AS AT 1 AUGUST 2024

Key

Block-on On-site block day of classes
DE Distance education
On-campus On-site weekly classes (mandatory for international students)
Online Online via Moodle plus block days on-campus at 553 St Kilda Road, unless otherwise specified in the unit Moodle site
* Please note these are combined block days – you can be enrolled in two of these units simultaneously
** Full year unit
# Prerequisites apply

Location Venue Key

553-SKR 553 St Kilda Road, Melbourne VIC 3004: Conf-Rms = Conference Rooms 1, 2 or 3 (Ground floor), Board-Rm = Board Room (Ground Floor)
MonAlf Lecture Theatre (Lec-Th), Seminar Rooms (Sem-Rms) and Tutorial Rooms (Tute-Rms) are located on Level 5 of The Alfred Centre, 99 Commercial Road (near cnr Punt Road), Melbourne VIC 3004

Note: Some block teaching periods fall outside the standard semester dates.