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Revised program (morning)

Introduction to Aalborg University and how it uses Problem Based Learning:

• Structure of the University

• Controlling the studies

• Courses

• PBL and Project Work

• What is a Project ?

• Getting started with a Project - exercise

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Structure of Aalborg University

University SenateRectorate

Faculty of Humanities

Faculty of Engi-neering and Sc.

Faculty of Social Science

DepartmentsStudy

Programmes

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• Secretary and labs• Research• Teaching

Structure of Aalborg University

University SenateRectorate

Faculty of Humanities

Faculty of Engi-neering and Sc.

Faculty of Social Science

Institute of Elec-tronic Systems

StudyProgrammes

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• Project work• Course activities

• Secretary and labs• Research• Teaching

Structure of Aalborg University

University SenateRectorate

Faculty of Humanities

Faculty of Engi-neering and Sc.

Faculty of Social Science

Institute of Elec-tronic Systems

Computer Eng.Electronic and .

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Working tasks for VIP’s

Professor Associated Professor

Assistent Professor

Ph.D.

student

Research 40% 40% 50% 80%

Teaching 50% 50% 40% 20%

Administra-tion

10% 10% 10% 0%

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Study board for Electronics and Information Technology

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Controlling the studies

Study Regulations:

• General regulations

• Sector’s, lines or specialization’s– Objectives and content

4.6. INTELLIGENT AUTONOMOUS SYSTEMS

Objectives and contents of the specialisation

The objectives of the specialisation in Intelligent Autonomous Systems are summarised as follows:

to provide students with knowledge in modelling of mechanical systems such as spacecraft, ships, and mobile robots, enable the student to apply modern methods of control to problems related to autonomous systems, to analyse methods of state observation, parameter estimation and sensor fusion in mechanical systems, to provide students with a comprehension of supervisory control, fault-tolerant control and fault detection, to let students analyse software architectures for autonomous systems.

The courses include necessary general theoretical topics within process control forautonomous systems but modules are also made available in scientific communication and proficiency in English language for those who need it.

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Controlling the studies

Study Regulations:

• General regulations

• Sector’s, lines or specialization’s– Objectives and content

• Specific semesters– Theme

SPRING Semester – Intelligent Autonomous SystemsTHEME: Modelling and ControlPERIOD: 1 February - 30 June PURPOSE: To give knowledge and comprehension of optimal and robust control theory. To give the students the ability to analyse modern control methods for multi input/multi output systems. To give students the ability to apply modelling methods and control synthesis for advanced mechanical systems.CONTENTS: The project is based on a problem of control and supervision of an autonomous system. The model of the mechanical system has to be derived. The vital part of the project is the choice of the set of actuators and sensors for onboard application. Different control strategies have to be investigated and compared. The supervisor system responsible for autonomy onboard has to be designed. The chosen solution has to be implemented on a real time platform and tested, either by the computer simulations or dedicated hardware.COURSES: Courses will be given in the field of modelling of mechanical systems, supervisory andfault tolerant control, and modern control theory. EXAM: The external oral examination is based on the prepared project documentation. Each student is marked according to the 13-scale.

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Controlling the studies

Study Regulations:

• General regulations

• Sector’s, lines or specialization’s– Objectives and content

• Specific semesters– Theme– Projects

Model based tracking for navigation

Background As part of an ongoing research project (with Computer Science AAU and The Danish Institute of Agricultural Sciences) an autonomous vehicle is developed which navigates autonomously in the field. The aim is to reduce the inputs to the field and monitor the growth of the individual plants, thereby providing obvious environmental and economic advantages over more traditional farming.

PurposeIt is important in such applications to both navigate accurately in the field but also to be able to identify individual plants. The aim in this project is to use perspective images captures from a camera mounted on the front of the vehicle to provide estimates of structure of the crop rows as well as position of the individual plants. The focus will not be on the image analysis but on sensor fusion with non-vision sensors mounted on the vehicle e.g. wheel encoders, differential GPS as well as integration of information about the known structure of the field.The aim is to use all available information on the autonomous vehicle in order to achieve the best possible estimates of the vehicle and individual plant position (in the order of cm).

MethodsThe project will include:•Modeling of vehicle system and plant pattern in the camera image •Prediction of the crop structure based on the system models as well as previous measurements (images anddata from sensors) •Estimation of vehicle position and orientation as well as plant position •Algorithms are simulated in the laboratory on simple setup. •If possible the algorithms are applied to data acquired in the field.

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Controlling the studies

Study Regulations:

• General regulations

• Sector’s, lines or specialization’s– Objectives and content

• Specific semesters– Theme– Projects– Courses

Study related courses (SE):

Fault Detection and Automated SystemsModelling of Mechanical SystemsController StructuresModelling of Mechanical Systems IIEngineering Responsibilities

Project related courses (PE):

Robust ControlOptimal ControlSupervisory ControlNeural Networks and Fuzzy LogicProject Management and Team Building

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Controlling the studies

Study Regulations:

• General regulations

• Sector’s, lines or specialization’s– Objectives and content

• Specific semesters– Theme– Projects– Courses– Semester group

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Teaching task’s

Project

Project courses lectures seminar

Study courses and lectures

Examination

Examination

50% - 33%

50% - 67%

Lecturer/instructor

Lecturer/instructor

Supervisor: Advisor and facilitator

Examinor/censor

Examinor

Structure of a semester:

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Courses

• Description

Course DescriptionOptimal Control TheoryPurpose:

To give the students knowledge in optimal control and practical experience with optimal control strategies based on minimisation of a performance index.

Contents: Dynamic programming LQ control Introduction of reference and disturbance conditions Introduction of integral conditions Use of observer, LQG control The position of closed loop poles Prerequisites: Analogue and Digital Control (FP6-4, PR6-1, PR6-2), Stochastic systems (FP6-3, FP8-5)

Duration: 1 module Category: Project theme course (PE- course)

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Courses

• Description

• Placed in a timetable for the semester

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16

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Courses

Each lesson/lecture (Mini module):• Duration 3 hours 45 minutes (½ day)• 2 lectures app. 45 min each• Exercises in groups, app. 2 hours

– The lecturer is now instructor

The purpose of the combination of lectures/exercises is to increase the comprehension of the curriculum

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Courses

Differences between project course (PE) and study course (SE)

• Examination– PE has no formal examination by the lecturer, it is

examined during the project examination by the supervisor

– SE is examined by the lecturer, normally as a written examination (passed/non passed)

• Exercises– PE is used in the project, exercises is examples– In SE the student must learn to solve examination

exercises

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Coffee break until 10.30

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Problem-based learningand/or Project Work

Why use these pedagogical ideas?

To emphasize learning instead of teaching:• Learning is not like pouring water into a glass• Learning is an active process of investigation

and creation based on the learners interest, curiosity and experience and should result in expanded insights, knowledge and skills

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Comparing two models

teamworkselfdirected learningproblembased learninginterdisciplinaryexemplarity

Study groups

working individually

thematic blocks

individual assessment/exam

Project groups

working on a common product

thematic semester ½ year

group assessment/examination

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Aalborg model

• a project each semester

• each group has a group room

• group size of 6-8 students first year, 2-3 students the last year

• each group has at least one supervisor

• self selected group and projects within themes and disciplines

• group assessment

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Project Organization

• The group have to choose a task or problem and set up their own objectives for the project

• Every project is a unique and complex task• The students have to be active in the seeking

and learning processes, which may lead to a deeper understanding

• Teamwork

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Problem-oriented – what is that?

• Wondering

• Asking questions

• Draw up contrasts

Learning is about posting questions

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Problem-based awareness

Problem-based:

• Methodical objectives• Based on experience• The student is in

control• Interdisciplinary

Discipline-based:

• Technical objectives• Based on subjects• Teacher is in control

• One discipline at a time

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The four phase model of a Project

Analyse

Design

Implementation

Test

Industriel Project

StudentProjecttoo broad

Student Projecttoo narrow

The idealStudent Project

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Why is analysing important?

LP Wife

Water

What shall I do to get to my wife?

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How to start analysing – presentation of two tools

• The six W- model

• Post It Brain storm1. Everybody write notes on post it laps for 5 min

2. All laps is placed on the blackboard

3. You read up all the laps

4. All go to the blackboard and together you structure the brain storm

Problem How?

Why? What?

Where?

When?Whom?

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Exercise

• Choose a problem that you as a group think could make a good learning project

• Use the Post-it brain storm to make a first ”analyse” of the problem and create a structure for the following analyse

• Make a list of technical subjects that the students would need to know about (e.g. have a course) to solve the problem

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Project example

• In a danish brewery there is too much noise emitted in the production hall, due to the bottles. How can the noise be reduced ?

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Lunch until 13.30