Course  Mathematics for engineering 2 D  IMAA2024
IMAA2024  Mathematics for engineering 2 D
About
New from the academic year 2023/2024
Examination arrangement
Examination arrangement: Aggregate score
Grade: Letter grades
Evaluation  Weighting  Duration  Grade deviation  Examination aids 

School exam  70/100  4 hours  C  
Portfolio  30/100 
Course content
Basis module. Functions of several variables. Partial differentiation, gradient. Critical points and optimization. Taylor’s theorem with remainder. Introduction to partial differential equations: examples and solutions.
Partial differential equations. Different types required different approaches, focus on physical/modeling intuition. Overview of the field. Steady state equations. Examples: Laplace’s and Poisson’s equation. Solution by computer using linear algebra. Iterative numerical solutions converging to a steady state. Timedependent systems. Examples: Heat equation, advection equation, wave equation. Solution by computer.
Programme module. Set theory. Set operations and terminology including intersection and union, Venn diagrams. Propositional logic. Propositions, connectives, disjunctive normal form. Predicate logic and quantifiers. Selected methods of proof. Inference rules and admissible rules. Basic number theory, modular arithmetic, and selected algorithms. Basic graph theory. Important graph types, including trees, and related algorithms such as breadthfirst and depthfirst search.
Learning outcome
Knowledge
The candidate has good knowledge of:
 Functions of several variables, including partial derivatives and their application to classification of stationary points and optimization.
 Taylor’s theorem and approximation by Taylor series.
 Partial differential equations, their properties and applications.
 Basic concepts and methods from propositional and predicate logic and set theory
 Selected forms of mathematical proof
 Basic number theory and modular arithmetic
 Terminology and selected algorithms for graphs.
 Digital tools for analysis of mathematical problems.
Abilities
The candidate can:
 Find and interpret the partial derivatives of a function of several variables
 Approximate functions by Taylor’s theorem and estimate the error with a remainder term.
 Solve simple optimization problems with several variables.
 Verify that a given function solves a partial differential equation
 Solve certain partial differential equations by computer, verify and interpret the results.
 Apply basic concepts, results and methods from logic and set theory, for example discern whether an argument is valid or not, or decide whether propositions are equivalent.
 Construct simple mathematical proofs
 Apply selected algorithms from basic number theory.
 Apply basic concepts are results related to graphs and apply selected algorithms to small examples.
 Apply digital tools to analyse mathematical problems.
General competence
The candidate:
 Has good knowledge of, and can apply a symbolic and formulaic mathematical apparatus that is relevant for communication in engineering sciences
 Has experience of evaluation of their own and other students scientific work, and with giving precise and technically correct oral feedback.
 Has experience with applications of mathematical methods and digital tools to problems with their own and related specializations.
 Can connect mathematical concepts and techniques to models the candidate meets within and outside of their studies.
Learning methods and activities
Lectures, exercises and group work. There will be short presentations with focus on applications in addition to ordinary lectures.
Compulsory assignments
The compulsory assignments consist of two parts:
 Compulsory exercises that are based on both analytical and numerical solution of problems and interpretation of the results. The assignments include tasks to be solved with the help of digital tools.
 Compulsory group work
Special conditions
Obligatory activities from previous semesters can be accepted by the institute.
Compulsory assignments
 Compulsory assignments (exercises and group work)
Further on evaluation
The course has two evaluations. A continuation exam is held for the written school exam. Retake of examination may be given as an oral examination. There is no continuation exam for the portfolio.
If one evaluation is passed, and one is failed, the evaluation that is failed can be retaken if necessary next time the course is lectured ordinary.
Students that want to improve their grade in the course, can choose to retake one of the two evaluations. If the course changes its evaluation forms, the whole course must be retaken.
Continuation exam in August.
Specific conditions
Admission to a programme of study is required:
Computer Science  Engineering (BIDATA)
Logistics  Engineering (FTHINGLOG)
Recommended previous knowledge
Mathematics for engineering 1 or similar
Course materials
Recommended course material will be announced at the start of the semester
Credit reductions
Course code  Reduction  From  To 

IMAT2024  7.5  AUTUMN 2023  
IMAG2024  7.5  AUTUMN 2023  
IMAG2011  2.0  AUTUMN 2023  
IMAA2011  2.0  AUTUMN 2023  
IMAT2011  2.0  AUTUMN 2023  
IMAG2021  5.5  AUTUMN 2023  
IMAA2021  5.5  AUTUMN 2023  
IMAT2021  5.5  AUTUMN 2023  
IMAG2031  4.0  AUTUMN 2023  
IMAA2031  4.0  AUTUMN 2023  
IMAT2031  4.0  AUTUMN 2023 
Version: 1
Credits:
7.5 SP
Study level: Intermediate course, level II
Term no.: 1
Teaching semester: SPRING 2024
Language of instruction: Norwegian
Location: Ålesund , Trondheim
 Mathematics
Department with academic responsibility
Department of Mathematical Sciences
Examination
Examination arrangement: Aggregate score
 Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
 Spring ORD School exam 70/100 C 20240510 09:00 INSPERA

Room Building Number of candidates Gymsal Laterna/Labbygg 50 
Spring
ORD
Portfolio
30/100
Release
20240419Submission
20240503
21:00
INSPERA
12:00 
Room Building Number of candidates  Summer UTS School exam 70/100 C INSPERA

Room Building Number of candidates
 * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida  Exams"