The aim of the course is to increase the knowledge and practical skills of writing and communicating academic texts, such as: reports, theses, conference papers, and journal articles. In addition, the course includes a module on writing and communicating popular scientific texts.

The course will be held on campus during on selected week. The pace is 50 % (every other day). Prerequisite assignments will be sent out three months before the course start. These assignments must be completed and submitted one month before course start. A post hoc assignment, a report to be written, should be submitted within three months after the intensive course ends.

The aim of the course is to increase the knowledge and practical skills of performing data collection, processing, transformation, analysis, and visualization. The course will be held on campus during on selected week.

The pace is 50 % (every other day).

Prerequisite practical assignments will be sent out three months before the course start. These assignments must be completed and submitted one month before course start. A post hoc assignment, a report to be written, should be submitted within three months after the intensive course ends.

Corresponds to 3 higher education credits (högskolepoäng)

The aim is for the doctoral student to acquire advanced knowledge and skills in the industry-academia co-production. The course will discuss the following aspects:

• Introduction to the process of co-production between industry and academia.
• The main phases and steps involved in the process.
• Role descriptions for the main actors involved in the process.
• Knowledge dissemination and reporting.

 The objectives regarding knowledge and understanding include

• In-depth knowledge of industry-academia co-production

 Skills and Abilities

• Ability to plan and execute research in co-production with industry partners.

Course literature and other teaching material

• Gorschek T., Wnuk K. (2020) Third Generation Industrial Co-production in Software Engineering. In: Felderer M., Travassos G. (eds) Contemporary Empirical Methods in Software Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-32489-6_18
• Gorschek, P. Garre, S. Larsson and C. Wohlin, “A Model for Technology Transfer in Practice,” in IEEE Software, vol. 23, no. 6, pp. 88-95, Nov.-Dec. 2006, doi: 10.1109/MS.2006.147.

OBJECTIVE AND CONTENT
Objective
The main objective of the course is to support researchers in their process of taking research result to innovation, impact and commercialization. This is conducted through providing seminars on intellectual properties, economy, business modelling along with working through cases, own or provided.
Content
The course is organized around a set of seminars and assignments. The assignments are conducted individually and could be delivered either written or orally.
LEARNING OUTCOMES
Knowledge and understanding
On the completion of the course, the student will be able to:
–
Demonstrate insight to the various steps in an innovation and entrepreneurial process, specifically from a research perspective.
–
Demonstrate orientation about the different pathways utilization of research.
Competence and skills
On completion of the course, the student will be able to:
–
Complete a Business Model Canvas for a given project idea. The project idea should be based on research (hypothetical research or ongoing research).

Course Descriptor

OBJECTIVE AND CONTENT
Objective
The main objective of the course is to assist researchers to develop a business plan to attract
potential investors in the process of taking their research results into innovation, impact and
commercialization , and also to
Content
The course is organized around a number of seminars and coaching sessions, individually
and/or in smaller groups. The course will conclude with a workshop presenting and
discussing developed material, and also pitching a potential business idea.
LEARNING OUTCOMES
Knowledge and understanding
On the completion of the course, the student will be able to:
•
Demonstrate insight to parts of a business plan and the process of developing a business plan.
•
Demonstrate insight towards the possible investment alternatives for funding a start-up business.
Competence and skills
On the completion of the course, the student will be able to:
1.
Complete a written business plan based on a given project idea. The project idea should be based on research (hypothetical research or ongoing research).
2.
Develop investment package, first version, intended for equity investment.
3.
Skills in pitching a business plan.

Course Descriptor

During the winter 2018/2019, The Department of Mathematics and Natural Sciences gave a statistics course for Ph.D. students in Mathematics and Engineering sciences. The course (7.5 hp) consists of the following areas:

• Estimation in general
• Regression analysis (including multiple and non-linear regression)
• Analysis of variance (ANOVA) with application to planning of experiments
• Non-parametric methods (Methods which can be used when the data are not Gaussian distributed)
• Time series analysis including ARMA models (very applicable in signal processing and prediction in general, e.g. in economy)
• Orientation about random processes (applicable in e.g. reliability and telecommunications)
• Computer labs using the software SPSS and R

LITERATURE

Textbook: Walpole, R.E. et al (2011 or later). Probability and statistics for engineers and scientists. Pearson Education.

Additional documents from the Department of Mathematics and Natural Sciences.

PREREQUISITE

Prerequisite: a basic course in probability and statistics (at least 6hp).

The aim for the doctoral student is to acquire knowledge and develop skills in the area of philosophy of
science and methodology of applied science. It aims to increase the students’ ability to formulate and
applied scientific principles within their own area of research.

Content

PART 1: Theory/Seminars, 3 ECTS credits
− History of science: from experience facts to experimentalism;
− Modern theory of science: falsificationism, Kuhn’s paradigm, Lakato’s research programmes,
Feyerabend’s anarchistic theory of science, subjective Bayesians, and new experimentalism;
− Methodology of applied science;
− Legal and ethical aspects of publishing.
PART 2: Project/Workshops, 4.5 ECTS credits
− Approaching research problem – a research question and hypothesis;
− Validation and verification of research hypothesis;
− How to organise and write thesis and scientific paper;
− Tools for referencing and using templates.
− Presenting and disputing of research results;
− Reviewing of the research reports;
− Project and team work management.

Objectives

Knowledge and Understanding
− fundamental concept and theory concerning modern paradigm in science, special in applied
sciences;
− Academic and publishing culture.
Skills and Abilities
− Scientific writing;
− Research competence;
− Write, present and dispute scientific papers and reports.
Judgment and Approach
− Be able to analyse, review and oppose scientific papers and reports.

The examination consists of active compulsory participation in seminars and workshops, written
assignments submitted and presented in different ways.
Code Module Credit
Theory 3.0 ECTS
Project – individual part 2.0 ECTS
Project – group part 2.5 ECTS
Assessment of the course is the grade pass or fail (G/U).

Course literature and other teaching material

− A.F. Chalmers: What is this Thing Called Science? ISBN 0-87220-452-9.
− Course coordinator will provide suitable compendia and a list of supplementary literature before
the course starts

Third-cycle course

Corresponds to 5 higher education credits (högskolepoäng)

The objective of this course is to support doctoral students at BTH in the process of reading and reviewing academic work (conference, workshop, and journal publications). Moreover, the goal is to learn the students how to write good rejoinders of their own papers and work with reviewers and editors of academic conferences and journals.

The course includes five seminars where different aspects of reading, reviewing, and preparing a rejoinder are discussed and examples are provided. Moreover, the course contains two assignments where students show the ability to review a research paper and prepare a rejoinder to a research paper.

 Knowledge and understanding

• Knowledge and understanding of the review process in academia
• Knowledge and understanding of the rebuttal process in academia

Skills and Abilities

• Ability to time-efficiently read research articles
• Ability to time-efficiently review an assigned paper and prepare constructive comments
• Ability to prepare a good rejoinder and address the reviewers’ comments on your own submissions
• Ability to critically review your own research articles

Judgement and approach

• Judge the effort and strategies needed for writing a good rejoinder
• Judge the effort required when acting as a reviewer to a paper and the expected level of feedback

The teacher provides the necessary literature during the seminars

Course descriptor

Objective 

The main objective of the course is to raise awareness and knowledge about the various aspects related to research ethics and misconduct.

Content and tentative schedule

The course will be organized around a set of seminars and conclude with a workshop with participant presentations.

• Seminar I [2020-10-01 9:00-11:00]: Introduction to research ethics.
• Seminar 2 and Groupwork [2020-10-08 9:00-11:00]: Data handling.
• Seminar 3 [2020-10-15 9:00-11:00]: Scientific authorship and scientific publishing.
• Seminar 4 [2020-10-22 9:00-11:00]: Research misconduct.
• Workshop [2020-11-19 9:00-12:00]: Students presentations (additional workshops might be booked depending on the number of course participants)

Note: The course is likely to be run on a distance.

Course descriptor

Objective

The main objective of the course is to teach the candidates to communicate scientific ideas and results both to academic audiences and to the public in general. The first part of the course (Scientific Communication I) will focus on the popular science format, while the second part (Scientific Communication II) will focus on the academic format. The course will give practical experience with presenting own ideas, as well as receiving feedback and critically reviewing others’ work.

Content

The course will be organized around a set of seminars and workshops with candidate presentations.

• Scientific Communication I – Popular science presentations
  • Seminar I:
    • Public understanding of science and dialog with society.
    • Formats and style. Storytelling. Popular science magazine articles and general press.
  • Seminar 2:
    • Presenting research ideas and results to public.
    • Formats and style. Elevator pitches, TED talks.
  • PhD Workshop
    • Candidates prepare a presentation of their ideas and results and give a presentation in an annual PhD workshop
• Scientific Communication I – Academic presentations
  • Seminar 1:
    • Communicating scientific ideas and research to an academic audience. Format and style
  • Seminar 2
    • Scientific reviews. Providing and receiving constructive feedback.
  • PhD Workshop
  • Candidates prepare an extended of their ideas and results and give a presentation in an annual PhD workshop