avaialable from (https://rpubs.com/staszkiewicz/cw_0_EN)
I DO NOT CONSENT TO ANY FORM OF RECORDING OF CLASSES OR LECTURES. This prohibition also applies to recording for private purposes.
The final grade for the course is based on a point scale:
Points earned in class are added to the exam in the 1st term provided that the compulsory task is completed and at least 30% of the possible points. Points for exercises are not added to the exam result in the second term. The instructor may, at his discretion, increase the student’s grade. The student must not be penalized by negative interpretation of the rules of instruction.
Examination in terms I and II:
Exam form: scenario for closed tasks or closed tasks only 30 points, two situational tasks one 30 points, one 40 points time 1h 30 minutes or equivalent.
One task is chosen from the collection of tasks.
The exam is in the “essentials” mode with the display of single questions. If the answers coincide more than 80% of the similarity index, the answer is not graded. In the case of using API/AI to solve tasks, for example, chat-boat GPT3 - the exam is annulled without the right to take into account the points for activity in subsequent attempts.
Students considering a career in research or mixed business-research strategy can benefit from a research paper writing project. Students write a scientific article on assigned topics. They meet for 4 meetings of 5 credits points each. The article is subject to a 3-reviews rounds by the instructor. At the last 4 review, points from 0 to 100 are awarded. Projects that receive more than 49 points can be further developed into a scientific article in cooperation with the instructor, authors are grated the best mark and are released from the final examination and might claim the submission fee grand. Participation in the PhD track does not exclude participation in normal classes, the student may withdraw from the PhD track at any time, with the right to keep the points earned.
See: obligatory task in Niezbednik
All assignments made in class are licensed under the Common Creative
Attribution 4.0 - This license allows a work to be copied, modified, distributed, presented, and performed only if the author is credited. It is the license that grants the broadest freedom to the licensee.
Data used in classes is private data, students can use this data outside of classes under fair citation conditions for research purposes only.
https://www.sgh.waw.pl/bazy-online-biblioteka-sgh Web of Science Scopus
Students are required to have a device with internet access in class. A laptop computer is suggested.
GTP3 please register in the sandbox https://platform.openai.com/playground
Overflight generation https://elicit.org/
See task section in Niezbiednik
Some classess will be hold thought Teams - due to my conference obligations
In this class we use R programming language with RStudio environment. We can use either a desktop version (recommended for people with relatively fast computers, under control of a typical operating system such as Winodws, Linux), or a version in the cloud (hardware independent, but limited in terms of shared resources) which is easier to install.
For those less IT savvy there is a tutorial video https://www.youtube.com/watch?v=cX532N_XLIs
2 Cloud Installation -> On this page please login no credit card information required. Please select the free account type for student.
Professional handbook published by BBP for P8 level.
You can also use older versions from 2015 in the library of the Warsaw School of Economics
https://learningmedia.bpp.com/catalog?pagename=2021-AA
Staszkiewicz, P. (2021). Auditing. Auditing Taskbook (I). PWN.
https://ksiegarnia.pwn.pl/Audyt-Zbior-zadan-do-rewizji-finansowej,893292818,p.html
For the due deligence and banking tranidng prortfolio and bank book substatnive section
Staszkiewicz, Piotr, and Lucia Staszkiewicz. Finance. Volume I, a Quantitative Introduction. London: Academic Press, 2015. - basic valuation and understading of instruments
Staszkiewicz, Piotr, and Lucia Staszkiewicz. Finance. Volume II, a Quantitative Introduction. London: Academic Press, 2015. - last chapter Capital requireemnts, volume for the porfolio valuation
Fundamentals of statistics for sampling:
A very good textbook for R R-book
https://www.wiley.com/en-us/The+R+Book%2C+2nd+Edition-p-9780470973929
Popular R data for science
https://r4ds.had.co.nz/index.html
https://dss.princeton.edu/training/
swirl() library - there will be tutorials from this library
Or a tutiorial in R itself - a presentation will be made during the class
Please register to Research Gate using email from your school domain, you have a large collection of free research articles there, beware registration is only possible through emails with research domain, unless someone is the author of the research article. On the author’s website Staszkiewicz https://www.researchgate.net/profile/Piotr-Staszkiewicz you will find additional materials for the classes and the article used in the exercises.