Teaching

Current: Deakin University, Melbourne
Past (major): Warsaw University of Technology and Data Science Retreat, Berlin
See also: my textbooks.

Teaching Interests

• Machine Learning and Data Analysis from an Algorithmic and Probabilistic Perspective

• Mathematical Modelling, Computational Statistics

• Python, R, and C/C++ for Data Science, Scientific Computing

Awards

• Golden Chalk of the second degree (Silver Chalk? 😆) for teaching excellence (Faculty of Mathematics and Information Science, Warsaw University of Technology), 2019

• Warsaw University of Technology Rector’s Award of the third degree for teaching achievements, 2017

• Warsaw University of Technology Rector’s Award of the third degree for teaching achievements, 2015

Teaching-Related Activities

• Course Leadership Team Member — BSc in Artificial Intelligence, Deakin University (2020-)

• Supervisor of the Data Science Course (Program) (a.k.a. Dean’s Proxy for Data Science Studies) and First-Year Academic Liaison, Faculty of Mathematics and Information Science, Warsaw University of Technology (2018-2019); key responsibilities:

  • managing, assessing, and synchronising all data science programs

  • handling undergraduate and graduate students’ admissions

  • coordinating students’ transfers, providing advice regarding degree requirements and exchange programs (such as within the Erasmus framework)

  • counselling students with regards to their academic goals and how to meet them

• Initiator, supervisor, and mentor of the Data Science Student Club, Warsaw University of Technology (2014-2019)

• Deputy Course (Program) Director for BSc and MSc in Data Science (Polish: Inżynieria i analiza danych), Faculty of Mathematics and Information Science, Warsaw University of Technology (2016-2019);

  • key responsibilities: moulding, developing, and implementing a new degree in Data Science

• Supervisor of 18 BSc and MSc (by research) theses in Mathematics and Computer Science (27 students) at Warsaw University of Technology

• Academic mentor of 10 industry capstone projects at Deakin University — providing mentoring and assessment of students (2020-)

• Amongst top 3% StackOverflow users, helping others with programming problems as well as reviewing, editing, and moderating content

• Google Summer of Code 2016 Mentor of Qin Wenfeng: RE2 Regular Expressions in R (2016)

Courses

Deakin University

• SIT114: Introduction to AI

  • New Unit Developer

  • Unit Chair and Lecturer in T1.2021

  • Unit Chair and Lecturer in T1.2020

• SIT172: Programming for Engineers

  • Unit Campus Coordinator and Co-lecturer in T2.2021

  • Unit Campus Coordinator in T2.2020

• SIT752: Introduction to IT Professional Practice

  • Unit Chair in T1.2020

  • Unit Chair in T3.2019

Faculty of Mathematics and Information Science, Warsaw University of Technology

• Przetwarzanie danych ustrukturyzowanych (Structured Data Processing)

  • New Unit Developer

  • Unit Chair and Lecturer in 2018/2019W (1*2 lect)

  • Unit Chair and Lecturer in 2017/2018W (1*2 lect)

• Podstawy programowania i przetwarzania danych (Introduction to Programming and Data Processing)

  • New Unit Developer

  • 2018/2019W (1*2 lect)

  • 2017/2018W (1*2 lect)

• Przetwarzanie danych w językach R i Python (Data Processing in R and Python

  • New Unit Developer

  • Unit Chair and Lecturer in 2018/2019S (1*2 lect, 1*2 lab)

  • Unit Chair and Lecturer in 2017/2018S (1*2 lect, 1*2 lab)

  • Unit Chair and Lecturer in 2016/2017S (1*2 lect)

• Przetwarzanie i analiza danych w języku Python (Python for Data Processing and Analysis)

  • New Unit Developer

  • Unit Chair and Lecturer in 2018/2019W (1*2 lect, 1*2 lab)

  • Unit Chair and Lecturer in 2017/2018W (1*2 lect, 1*2 lab)

  • Unit Chair and Lecturer in 2016/2017W (1*2 lect, 1*2 lab)

  • Unit Chair and Lecturer in 2015/2016W (1*2 lect, 1*2 lab)

• Programowanie i analiza danych w R (Programming and Data Analysis in R)

  • New Unit Developer

  • Unit Chair and Lecturer in 2018/2019W (1*2 lect, 1*2 lab)

  • Unit Chair and Lecturer in 2017/2018W (1*2 lect, 1*2 lab)

  • Unit Chair and Lecturer in 2016/2017W (1*2 lect, 1*2 lab)

  • Unit Chair and Lecturer in 2015/2016W (1*2 lect)

  • Unit Chair and Lecturer in 2014/2015W (1*2 lect)

  • Unit Chair and Lecturer in 2013/2014W (1*2 lect, 1*2 lab)

  • Unit Chair and Lecturer in 2012/2013W (1*2 lect, 1*2 lab)

• Programowanie w R dla zaawansowanych (Advanced R Programming)

  • New Unit Developer

  • Unit Chair and Lecturer in 2013/2014S (1*2 lect, 1*2 lab)

• Algorytmy i podstawy programowania (Algorithms and Introduction to Programming in C++)

  • New Unit Developer

  • Unit Chair and Lecturer in 2015/2016W (1*1 lect, 2*1 ex)

  • Unit Chair and Lecturer in 2014/2015W (1*1 lect, 2*1 ex, 2*2 lab)

  • Unit Chair and Lecturer in 2013/2014W (1*1 lect, 2*1 ex, 2*2 lab)

  • Unit Chair and Lecturer in 2012/2013W (1*1 lect, 2*1 ex, 2*2 lab)

  • Unit Chair and Lecturer in 2011/2012W (1*1 lect, 2*1 ex, 1*2 lab)

  • Unit Chair and Lecturer in 2010/2011W (1*1 lect, 4*1 ex, 2*2 lab)

• Statystyka matematyczna I (Mathematical Statistics I)

  • Teacher in 2011/2012S (3*1 lab)

  • Teacher in 2010/2011S (2*1 lab)

  • Teacher in 2009/2010S (2*1 lab)

  • Teacher in 2008/2009S (2*1 lab)

• Computer Statistics

  • Teacher in 2012/2013W (1*2 lab)

  • Teacher in 2011/2012W (2*2 lab)

  • Teacher in 2010/2011W (2*2 lab)

  • Teacher in 2009/2010W (2*2 lab)

  • Teacher in 2008/2009W (2*2 lab)

• Algorytmy i struktury danych II (Algorithms and Data Structures)

  • Teacher in 2010/2011S (1*2 lab)

  • Teacher in 2009/2010S (1*2 lab)

  • Teacher in 2008/2009S (2*2 lab)

  • Casual Teacher in 2007/2008S (2*2 lab)

• Programowanie obiektowe (C++) (Object-Oriented Programming)

  • Teacher in 2010/2011S (1*2 lab)

  • Teacher in 2008/2009S (2*2 lab)

  • Teacher in 2009/2010S (3*2 lab)

  • Casual Teacher in 2007/2008S (1*2 lab)

  • Casual Teacher in 2006/2007S (1*2 lab)

• Programowanie w językach zorientowanych maszynowo (x86/x86_64 Assembler)

  • Teacher in 2010/2011S (1*1 lab)

  • Teacher in 2009/2010S (1*1 lab)

Data Science Retreat, Berlin

• NumPy and Theano/TensorFlow
  Data Wrangling with Pandas
  Advanced Python Programming
  Introduction to R
  Building Neural Networks and Other ML Models from Scratch
  String and File Processing in R and Python
  Web Scraping
  Advanced R Programming
  Rcpp, C++, Cython, OpenMP
  Speeding up R and Python

  • 2019 (Batch 19)

  • 2019 (Batch 18)

  • 2019 (Batch 17)

  • 2018 (Batch 16)

  • 2018 (Batch 15)

  • 2018 (Batch 14)

  • 2018 (Batch 13)

  • 2017 (Batch 12)

  • 2017 (Batch 11)

  • 2017 (Batch 10)

  • 2017 (Batch 09)

  • 2016 (Batch 08)

  • 2016 (Batch 07)

  • 2016 (Batch 06)

  • 2015 (Batch 05)

  • 2015 (Batch 04)

  • 2015 (Batch 03)

  • 2014 (Batch 02)

  • 2014 (Batch 01)

• Advanced R Programming, Rcpp, Writing R packages

  • GfK training in 2015

Centre for Advanced Studies, Warsaw University of Technology

• Przetwarzanie i analiza danych w języku Python (Python for Data Processing and Analysis)

  • Course Developer and Lecturer in 2018/2019W (1*2 lect)

International PhD Studies Program, Institute of Computer Science, Polish Academy of Sciences

• Advanced Data Analysis Software Development with R

  • Course Developer (e-learning)

  • Course Coordinator in 2015/2016W

  • Course Coordinator in 2014/2015S

  • Course Coordinator in 2014/2015W

Faculty of Computer Science, Warsaw School of Information Technology

• Rachunek prawdopodobieństwa i statystyka (Probability and Statistics)

  • Casual Teacher in 2008/2009W (2*2 ex)

  • Casual Teacher in 2009/2010W (2*2 ex)

  • Casual Teacher in 2010/2011W (2*2 ex)

• Statystyczne metody wspomagania decyzji (Statistical Decision Support Systems)

  • Casual Teacher in 2008/2009S (2*2 lab)

  • Casual Teacher in 2009/2010S (2*2 lab)

  • Casual Teacher in 2010/2011S (2*2 lab)