English 2, English for Engineering

Duration

30h Pr, 20h Proj.

Number of credits

Lecturer

Clara Brereton, Véronique Doppagne, Pascale Drianne, Stéphane Ghijsen, Philippe Jeukenne, Martin Polson, David Vanmanshoven

Language(s) of instruction

English language

Organisation and examination

All year long, with partial in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

This B2-C1 CEFR level ESP course continues the development of reading, data gathering, and note-taking using texts or text extracts and videos (as started in the English Level One course).

It also focuses on research and writing capacities, oral understanding and presentation skills.

Learning outcomes of the learning unit

By the end of this course,

General Learning Outcomes:

By the end of the course, students will:

• Be able to communicate effectively in both written and oral English in a range of professional engineering contexts.
• Have developed an increased awareness of the linguistic and cultural norms of English-speaking engineering environments, which will make their future professional interactions easier.

• Develop and deliver effective oral presentations in English, with clear structure, accurate scientific/technical language, natural pronunciation, rhythm, stress, and intonation.
  
  
• Enhance presentation skills through delivery techniques (body language, eye contact, voice), constructive peer feedback, and increased confidence in academic/professional contexts.

• Develop critical thinking by distinguishing facts from opinions, evaluating subjective language and likelihood markers, and recognizing researcher biases.
  
  
• Strengthen critical reading and listening skills by comparing media types, assessing reliability, and applying critical analysis to academic and professional contexts.

• Write clear, structured, and professional descriptive texts with accurate technical vocabulary, precise data interpretation, and appropriate academic style.
  
  
• Use AI responsibly to enhance autonomy, receive targeted feedback, improve writing accuracy and cohesion, and strengthen critical thinking.

• Develop skills in quoting, synthesizing, and paraphrasing to communicate complex ideas effectively in research papers, technical reports, and presentations.
  
  
• Apply these skills through practice and peer feedback to accurately convey scientific content from papers, presentations, and videos in academic and professional contexts.

Prerequisite knowledge and skills

English Level One (taught in the first year of the Bachelor's Degree in Engineering - B1-B2 CEFR level) or equivalent (for example: IELTS 5.5-6 or Cambridge Advanced English A-C).

Planned learning activities and teaching methods

The course features weekly classes (duration: 2 hours) all year long.

Each class requires a long preparation which is essential and mandatory. There are no ex cathedra lectures but rather learning sessions in which students will be asked to take part actively.

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course


Further information:

Important!

Class attendance is mandatory. Regular attendance and active participation are required, with an attitude that fosters a learning environment conducive to the progress of the entire group.

Any unjustified absence exceeding two sessions per quarter, as well as any behavior detrimental to the classroom climate as defined above, may result in a penalty applied to the continuous assessment grade (see details below).

Course materials and recommended or required readings

Platform(s) used for course materials:
- eCampus


Further information:

Except for the book you will have to read for the exam, all the compulsory material for this course is to be found on eCampus:

• the textbook (you can get a paper version from the CdC)
• a collection of videos
• the course presentation, in which you will find a detailed calendar of class activities and compulsory assignments

Exam(s) in session

Any session

- In-person

oral exam

Continuous assessment

Out-of-session test(s)

Other : Oral presentation in Q2


Further information:

Together, preparation and active participation, the informal presentation of a video, the 2 end-of-term in-class tests and the Q2 oral presentation account for 40% of the final grade, distributed as follows:

• Preparation, active participation and informal presentation of a video: 5%
• End-of-term in-class tests: 2 x 10% = 20%
• Q2 oral presentation: 15%

Work placement(s)

Organisational remarks and main changes to the course

Regarding the use of language-generating artificial intelligence:

Unless specific instructions are given by the teacher within the framework of well-defined activities, the ULiège Charter on the Use of Generative Artificial Intelligence in Academic Work applies.

Contacts

Teachers:

C. Brereton - C.Brereton@uliege.be; V. Doppagne - V.Doppagne@uliege.be;  P. Drianne - P.Drianne@uliege.be; S. Ghijsen - S.Ghijsen@uliege.be; P. Jeukenne - P.Jeukenne@uliege.be; M. Polson Martin.Polson@uliege.be;  D. Vanmanshoven David.Vanmanshoven@uliege.be

Coordination : V. Doppagne - V.Doppagne@uliege.be

Association of one or more MOOCs