Examination and grading

Intended learning outcomes After completing this course the student should be able to

* recall and apply basic concepts in artificial intelligence

* solve problems from the AI domain with limited resources in the form of time and computations

* formulate and address an AI related scientific problem

* demonstrate an insight into the risks of AI and its role in society

* present work in writing and orally

so that the student can

* make use of methods from artificial intelligence in the analysis, design and implementation of computer programs in academic as well as industrial applications

* in an appropriate way present results and solutions.

Criteria based grading We make use of a criteria based grading system. You will not collect points as in most other courses. Instead, to reach a certain grade you should show that you have fulfilled the criteria for that grade. In the tables below the means of examination has been indicated.

The matrix below shows which assessment tasks, assesses which ILO.

ILO

Quizzes

HW1

HW2

HW3

Project

1

recall and apply basic concepts in artificial intelligence

X

2

solve problems from the AI domain with limited resources in the form of time and computations

X

X

X

3

formulate and address an AI related scientific problem

X

4

demonstrate an insight into the risks of AI and its role in society

X

5

present work in writing and orally

X

X

X

X

The matrix below shows to which level a certain ILO is assessed. The requirements for ILOs that are only assessed at an E level need to be met to pass the course but they do not influence the final grade in any other way.

ILO / Grade

E

D

C

B

A

1

recall and apply basic concepts in artificial intelligence

X

2

solve problems from the AI domain with limited resources in the form of time and computations

X

X

X

X

X

3

formulate and address an AI related scientific problem

X

X

X

X

X

4

demonstrate an insight into the risks of AI and its role in society

X

5

present work in writing and orally

X

ILO 1: recall and apply basic concepts in artificial intelligence Grade Criteria

E Can answer questions regarding all parts of the course material.

This translates into passing all quizzes.

ILO 2: solve problems from the AI domain with limited resources in the form of time and computations Grade Criteria E
* Solves problems involving combinatorial search andt the most basic level.
* Solves problems involving probabilistic reasoning at the most basic level.

C
* Solves problems involving combinatorial search and probabilistic reasoning applying some more advanced techniques andeasily outperforming basic level solutions.
* Solves problems involving probabilistic reasoning easily outperforming basic level solutions.
* At least one of the HW1 and HW2 passed before the deadline, the project passed on time and all but two quizzes passed before the deadline.
* Can explain the designs and analyse the performance at a basic level.

A
* Solves problems involving combinatorial search applying some more advanced techniques and easily outperforming basic level solutions.
* Solves problems using probabilistic reasoning combing several methods toand makeing good use of the information at hand. The student can show how the development was guided by comparing different designs / solutions and can assess and recommend different designs for different modifica
* All tasks except one quiz passed before the deadline.
* Can evaluate and recommend different solutions tof the problem. All tasks except one quiz passed before the deadline. ¶s, can justify all choices in the designs and reason about how to address modified versions of the problems.
A student that falls short of some but not all requirements for A but meets all requirements for C can be given a B for ILO2 and similar when being between E and C and D.

The requirements regarding timely completion of tasks captures the fact that solving a problem under time constraints is harder. To get a B you need to meet the time criteria at the A level. To get a D you need to meet the time criteria at the C level.

It is the state of HW1 and HW2 before the deadline that counts in the grading when considering the time constraint. That is HW1 and HW2 handed in before the deadline and assessed to be at an E level cannot be raised above E level after this. Handing in HW1 before the deadline and assessed to be at level C can still give an overall C even if HW2 is handed in later assuming it is assessed at least at level C. Level A and B can only be reached if the homework assignments are handed in before the deadline and are at that level.

ILO 3: formulate and address an AI related scientific problem These grading criteria will be specific per project domain. See the project page for more information.

ILO 4: demonstrate an insight into the risks of AI and its role in society Grade Criteria E Can independently identify risks of AI and discuss these and the role of AI in the society.

Assessed in the ethics essay handing (HW3).

ILO 5: present work in writing and orally Grade Criteria E Can explain own solutions orally and can write short reports discussing the results of own work. Can present work of a group in writing and orally. Can write an essay in a language that is grammatically correct and understandable.

This is tested when presenting HW1 and HW2, the project and the ethics essay.

The final grade To pass the course the student needs to meet the requirements at an E level for all goals. The final grade on the course is given by the average grade on HW1 and HW2, rounded down but no higher than the grade interval given by the project. The grade interval is further explained at the project page.

For example getting A on both HW1 and HW2 and C-A on the project would give an overall A, whereas getting A on HW1 and B on HW2 and C-A on the project would mean an overall B.