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TUT
Department of
Mathematics
Seppo Pohjolainen
Head of Dept.
Engineering Mathematical
Competence (KOM, SEFI)
”the ability to understand, judge, do, and use
mathematics in a variety of intra- and extra-
mathematical contexts and situations in which
mathematics plays or could play a role”
”A Framework fo Mathematics Curricula in Engineering Education”,
SEFI 2013.
2.6.2016 2
Engineering Degrees
• 13 engineering degree programs,
• BSc (180 cu), MSc (120 cu)
• Every MSc contains minimum 27 cu mathematics
• First year engineering mathematics 19 cu
• Basic skill test and mathematics remedial instruction
• Second-third year two 4cu courses = 8 cu mathematics
• Degree programs can recommend
– Mathematics of Algorithms, Discrete Mathematics, Fourier Methods,
Operations research, Probability theory, Statistics, Vector analysis
2.6.2016 3
Engineering Degrees
• BSc (180 cu)
– Major & Minor (25 cu) in mathematics (Finnish)
– Basic course on Mathematical modelling
• MSc
– Major & Minor in mathematics (English/Finnish)
– 30-50 cr
2.6.2016 4
Support for 1st year
students
2.6.2016 5
Basic skill’s test
Remedial instruction
Mathematic’ clinics
Students work on remedial
instruction (MathBridge)
Student’s progress and work
during remedial instruction in
time
Mathematical Modelling
2.6.2016 6
Real world
problem
Mathematic
al model
Interpretation
in real world
Mathematical
solution
Figure 1. The cycle of mathematical modelling (Lucas 1999).
Mathematical modelling
network
2.6.2016 7
Seven universities
• Video lectures
• Students project work and
collaboration over the internet
ICT-tools and Solutions
• Videconferencing
– Opening and first lecture
– Project seminar,where students present their project works
• Moodle-learning platform
– Registration on the course
– Distribution of weekly material and information
– Students upload their weekly solutions to assignments
– Discussion and presentation of solutions for assignments and
project works
• Video lectures
– Lectures were recorded
– SMIL-multimedia presentations.
2.6.2016 8
Video lecture
2.6.2016 9
Project Work on Parlamentary Elections
2.6.2016 10
Students’ selections Project report
Modelling problem
Feedback
Learning Analytics
2.6.2016 11
• Group/learner activity/grading
TUT team
2.6.2016 12
• Looking forward to a successful project
• Thanks !

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Presentation of TUT courses

  • 2. Engineering Mathematical Competence (KOM, SEFI) ”the ability to understand, judge, do, and use mathematics in a variety of intra- and extra- mathematical contexts and situations in which mathematics plays or could play a role” ”A Framework fo Mathematics Curricula in Engineering Education”, SEFI 2013. 2.6.2016 2
  • 3. Engineering Degrees • 13 engineering degree programs, • BSc (180 cu), MSc (120 cu) • Every MSc contains minimum 27 cu mathematics • First year engineering mathematics 19 cu • Basic skill test and mathematics remedial instruction • Second-third year two 4cu courses = 8 cu mathematics • Degree programs can recommend – Mathematics of Algorithms, Discrete Mathematics, Fourier Methods, Operations research, Probability theory, Statistics, Vector analysis 2.6.2016 3
  • 4. Engineering Degrees • BSc (180 cu) – Major & Minor (25 cu) in mathematics (Finnish) – Basic course on Mathematical modelling • MSc – Major & Minor in mathematics (English/Finnish) – 30-50 cr 2.6.2016 4
  • 5. Support for 1st year students 2.6.2016 5 Basic skill’s test Remedial instruction Mathematic’ clinics Students work on remedial instruction (MathBridge) Student’s progress and work during remedial instruction in time
  • 6. Mathematical Modelling 2.6.2016 6 Real world problem Mathematic al model Interpretation in real world Mathematical solution Figure 1. The cycle of mathematical modelling (Lucas 1999).
  • 7. Mathematical modelling network 2.6.2016 7 Seven universities • Video lectures • Students project work and collaboration over the internet
  • 8. ICT-tools and Solutions • Videconferencing – Opening and first lecture – Project seminar,where students present their project works • Moodle-learning platform – Registration on the course – Distribution of weekly material and information – Students upload their weekly solutions to assignments – Discussion and presentation of solutions for assignments and project works • Video lectures – Lectures were recorded – SMIL-multimedia presentations. 2.6.2016 8
  • 10. Project Work on Parlamentary Elections 2.6.2016 10 Students’ selections Project report Modelling problem Feedback
  • 11. Learning Analytics 2.6.2016 11 • Group/learner activity/grading
  • 12. TUT team 2.6.2016 12 • Looking forward to a successful project • Thanks !