ED1100 Engineering Science 7.5 credits

Ingenjörsvetenskap

This is a course in Engineering Science with emphasis on mathematical modelling, aimed to give the student skills in usage of mathematical models to treat and understand problems in technology and natural science. The course also treats the history of technology, the role of the engineer in society and related gender issues.

The course design is based on learning centred pedagogics. The examination is based on continuous activitiy of the student.  

  • Education cycle

    First cycle
  • Main field of study

    Electrical Engineering
    Technology
  • Grading scale

    P, F

Course offerings

Autumn 19 CLGYM for programme students

  • Periods

    Autumn 19 P1 (7.5 credits)

  • Application code

    50582

  • Start date

    26/08/2019

  • End date

    25/10/2019

  • Language of instruction

    Swedish

  • Campus

    KTH Campus

  • Tutoring time

    Daytime

  • Form of study

    Normal

  • Number of places

    No limitation

  • Course responsible

    Jan Scheffel <jan.scheffel@ee.kth.se>

  • Teacher

    Jan Scheffel <jan.scheffel@ee.kth.se>

  • Target group

    CLGYM year 1, but also open for all programmes.

  • Part of programme

Autumn 18 CLGYM for programme students

Intended learning outcomes

Technology does not exist in Nature - all of technology is designed by man. While the natural sciences focus on laws of Nature, the science of technology is mainly concerned with the methods we humans use to design and manufacture objects and procedures. Engineering Science extends technology to include topics as mathematical modelling, history of technology and the engineer's professional role. These are also the main topics for this course in Engineering Science.

The ambition is that the student, having completed the course, will be able to

  • create mathematical models for given scenarios in the steps problem identification, assumptions, solution, interpretation, validation and implementation,
  • construct and graphically represent theoretical and empirical models from empirical data,
  • make estimates, check formulas and carry out dimensional analysis,
  • use the programmes Maple and Excel as tools for problem solving,
  • give an account of the evolution of technology as compared to natural science, and discuss their relations,
  • constructively reflect over the professional roles of male and female engineers in society,

and show basic skills in

  • oral communication and scientific writing in technology and natural science.

Course main content

Progress of technology and science. About understanding and modelling nature. Quantities. Units. Constants of Nature. Methodology for construction of mathematical models. Hypothetical deductive research metodology. Dynamical, iterative systems. Nonlinear systems and chaos. Emperical and theoretical models. Use of derivatives in modelling. Graphical model fitting. Least square and Chebyshev methods. Regression analysis of large data sets. Error sources in modelling. Estimates. Formula checks. Analysis of extreme cases. Proportionality. Dimensional analysis for checking computations and for finding new relations. Simulation modelling. Differential equations as models. The computer tools Maple and Excel. Male and female students of technology - a historical perspective. Perceptions about engineers. The roles of the engineer and the technology user in a gender perspective. Introduction to oral communication and scientific writing.

Disposition

The course is based on learning oriented pedagogics.
Lectures are goal oriented and class sessions are partially carried out as group work.

Eligibility

General and specific entry requirements for Master of Science programmes.

Literature

B. Sundin, Den kupade handen, Carlssons, 2006.

F. R. Giordano M. D. Weir and W. P Fox, A first course in mathematical modeling, Thompson 2009

G. Grimvall, Basic facts and skills in physics. 2011, Dept. of Physics, KTH.

Literature on gender aspects for engineers, distributed.

Examination

  • ANNA - Assignments, 4.5, grading scale: P, F
  • ANNB - Assignments, 1.5, grading scale: P, F
  • ANNC - Assignments, 1.5, grading scale: P, F

Grades P/F.

Requirements for final grade

Weekly hand in exercises, participation in seminars and lectures as well as oral presentation.

Offered by

EECS/Electrical Energy Engineering

Contact

Jan Scheffel

Examiner

Jan Scheffel <jan.scheffel@ee.kth.se>

Version

Course syllabus valid from: Spring 2019.
Examination information valid from: Spring 2019.