Criteria for evaluating a project report

2023-11-25 12:54

I got a question about what should be included in the review, so i would like to share the touch-points for the review, and they also cover the evaluation criteria for the project report.

The expectations for the review are to evaluate:
  • Clarity and organisation of the report
  • The quality of the work (methods applied, correctness of usage of statistical techniques and terms, code)
  • General logic of arguments
  • Insights and critical thinking
  • Did the project meet the goals, what could be the practical implications
Plus, add some feedback: highlight strengths, weaknesses, provide some questions.

 


Some updates on schedule and FAQs on project

2023-11-08 19:49

By popular demand the lecture of 11.21 and defence of projects will be postponed to 11.28 and joined together with that lecture. I will be there from 17:15 in class 102 (but if you have lectures, we can start at 17:30) and finish at 21:00.

The people that had original 11.28 date for defence will be prioritised for preferred time.

FAQs on project reports

  • What is the length requirement?

Up to 10 pages for 1 person project, up to 16 pages on 2 people project.

  • Do I need to prepare slides?

No, the slides are not necessary, you can use your report to present the work

  • How much time will I have for defence?

The allocated time is 9 minutes per person in total (including questions, likely time allocation: 5-6 minutes to present the results, 3-4 minutes for questions).

  • Do I need to format the report according to formal thesis requirements? i.e. with the title page,  table of centants, abstract, refererences.

Please try to format is as a report or article. No title page, no table of contents. Abstract should be included, and references.

  • What are requirements for the review?

1-page review, including 1-2 questions to the author

  • Who will review my work?

A colleague who has their project defence on the same day


Some updates and preliminary schedule for project defence

2023-11-04 13:32

Some information:
– Everyone who presented proposals, got a max evaluation result
– On 11.14 – we will not have a practice lecture as I will be unavailable.
– I prepared a preliminary schedule for key project defence. As I did not save all the info on projects, done in pairs,  some adjustments could be needed.

2115995 12.19
2125099 11.28
2215960 11.21
2215963 11.21
2215967 12.12
2215972 11.28
2215975 12.05
2215977 12.19
2215979 12.05
2225033 12.05
2225037 11.28
2225044 12.19
2315971 11.21
2315972 11.28
2315973 11.28
2315975 11.28
2315977 11.21
2315978 11.28
2315980 12.05
2315981 11.28
2315982 11.21
2315983 11.21
2315984 12.19
2315985 12.12
2315987 12.19
2315988 12.05
2315989 12.12
2315990 12.05
2315991 12.12
2315992 12.05
2315993 12.12
2315995 11.21
2316433 11.28
2316434 12.12
2325039 12.05
2325042 12.05
2325043 12.19
2325044 12.05
2325046 12.12
2325048 12.19
2325049 11.21
2325122 11.28
2330235 11.21

Schedule for key project proposals

2023-09-15 19:49
2115995 10.31
2125018 10.17
2125025 10.17
2125099 10.17
2215960 10.10
2215962 10.10
2215963 10.10
2215967 10.31
2215969 10.10
2215972 10.17
2215975 10.17
2215977 10.24
2215979 10.17
2225033 10.24
2225035 10.10
2225037 10.17
2225044 10.31
2315971 10.10
2315972 10.17
2315973 10.17
2315974 10.31
2315975 10.17
2315976 10.24
2315977 10.10
2315978 10.17
2315979 10.17
2315980 10.24
2315981 10.31
2315982 10.10
2315983 10.10
2315984 10.31
2315985 10.24
2315986 10.31
2315987 10.31
2315988 10.17
2315989 10.24
2315990 10.24
2315991 10.24
2315992 10.24
2315993 10.31
2315994 10.24
2315995 10.10
2316433 10.10
2316434 10.24
2316435 10.31
2325039 10.24
2325041 10.10
2325042 10.17
2325043 10.31
2325044 10.10
2325046 10.24
2325048 10.31
2325049 10.10
2325122 10.10
2330235 10.10
2330236 10.17
2330237 10.31
2330242 10.10

Information about his week lectures

2023-09-11 09:30

On September 12th we will have an extra lecture on Parametric and Non-parametric Statistics with me (in place of lecture from prof. M. Radavičius) on 16:00 at auditorium 303 (Naugardukas st.).
After that we will move to computer class at Šaltinių st. and have a usual time for lab works at 18:00


Information on Lab assignments and evaluation

2023-09-04 20:52

Students will need to do a key project to get an assessment for lab works for the course “Parametric and Non-parametric statistical methods”

Goal of the key project:

Choose a paper which applies some of parametric and non-parametric statistics methods to solve an actual problem. Replicate and refine the research from that paper with generated data.

The scope of the project does not need to fully match the original paper, in can be adjusted.

The Final grade (50% of total grade of the course) will consist of:

  1. the proposal of the project. 15% The proposal should be presented in a form of an oral presentation with slides. It should include:
    • a chapter on the problem that the paper addresses
    • an overview of methodology in the paper
    • a proposal of the scope, goal and methods of the key project. It can be a refined project which deviates from the original paper and enrichments, alternative comparisons are welcome
  2. A written report on the project and defence in the clasroom 25% The report should include:
    • a short overview of the problem area
    • a goal presentation (largely based on proposal from the first part of assessment)
    • the project methodology, execution, snippets of code
    • the results and conclusions 
    • the assigment will be defended in the classroom at allocated time
  3. A review of a colleague’s key project 10%. A written 2-page review of a different key project executed by a student colleage.

Here is a list of suggested papers to replicate for a key project. Student can choose a different paper (not from the list) upon agreement with their teacher.

Students can do key projects in pairs. If a project is done by 2 students it will be reviewed by 2 colleagues.

The lab works plan:

09.05 – Info on assignments, Q&A

09.12 – Introduction to experimentation and current research in that area

09.19 – Consultations

09.26 – Consultations

10.03 – Consultations

10.10 – Proposals

10.17 – Proposals

10.24 – Proposals

10.31 – Proposals

11.07 – Consultations

11.14 – N\A

11.21 – Key project presentations

11.28 – Key project presentations

12.05 – Key project presentations

12.12- Key project presentations

12.19 – Key project presentations

A report on the key project should be emailed a week prior the defence date, so that it would give enough time for reviewers to prepare the reviews and teacher to get familiar with the content.

Next week, a schedule for proposals will be published.


Projektinio darbo pavyzdys

2018-02-21 12:23

http://www.statisticsjournal.lt/index.php/statisticsjournal/article/view/155

 


Finansų ekonometrijos laboratoriniai (2018)

2018-02-06 18:10

Finansų ekonometrijos laboratoriniai yra verti 40% galutinio įvertinimo, iš jų 10% yra už praktines užduotis (bus 2 užduotys), ir 30% už projektinį tiriamąjį darbą.

Užsiėmimų planas: 

2018-02-07 Įvadas, susipažinimas su užduočių ir atsiskaitymo forma, sistema.

2018-02-21 Tyrimo temos pristatymas: Pristatyti planuojamo tyrimo temą, idėją, darbų planą.

2018-03-07 Užduočių atsiskaitymas

2018-03-21 Literatūros apžvalgos pristatymas

2018-04-04 Užduočių atsiskaitymas (pagal poreikį)

2018-04-18 Užduočių atsiskaitymas, konsultacija

2018-05-02 Tyrimo dalies pristatymas

2018-05-16 Konsultacija (pagal poreikį)

*2018-05-20 Galutinį savo darbo variantą atsiųsti el.paštu

2018-05-30 Darbų gynimas (privaloma dalyvauti)

Praktinės užduotys

Reikės pasiruošti ir kasėje atsiskaityti vieną iš užduočių. Užduotys bus iš knygos:

Tsay: Multivariate Time Series Analysis with R  and Financial Applications.

Sąrašas uždavinių, kurie bus/gali būti atsikaityme:

1 Užduotis:

1.1

1.2

1.3

1.4

2.3

2.4

2.6

2.8

2.9

2 Užduotis:

3.3

3.4

3.5

3.6

5.2

5.3

5.4

5.5

5.6

Užduočių vertė yra po 5% (iš viso 10%), straipsnio/projekto vertė yra 30%.

Duomenys:

https://faculty.chicagobooth.edu/ruey.tsay/teaching/mts/sp2013/

Savo projektinį darbą reikės apipavidalinti laikantis straipsnio formato.

 


Informacija apie laiko eilučių laboratorinius darbus

2017-02-28 12:10

Tarpinis atsiskaitymas (bent 1-2 užduoties dalys): 03.10 ir 03.24

Galutinis atsiskaitymas: 05.12 ir 05.26.

Pavyzdžių nagrinėjimas:

04.07 – ARMA modelio eilės parinkimas, trendo vertinimas, stacionarumo testai, likučių testai

04.28 – modelio kryžminė patikra


Informacija dėl statistikos įvado laboratorinių darbų

2017-02-28 11:56

Nauja informacija pateikiama ir pavyzdžiai bus nagrinėjimi tokiomis datomis:

03.10 – 2 užd.

03.17 – 2 užd.

04.07 – 3 užd.

05.05 – 4 užd.

Likę užsiėmimai bus skirti atsiskaitymams ir konsultacijoms.