Mini trial
Design a small load-bearing part using card, fasteners or simple CAD; observe how it fails and build a second version.
PROGRAMME FAMILY
Compares programmes, learning environments and alternatives through forces, motion, energy, materials, design and manufacturability.
The common spine of this family is forces, motion, energy, materials, design and manufacturability. Yet two programmes in the same family can differ significantly in mathematical intensity, mode of production, professional authority and daily work after graduation.
Learning commonly takes place through design studios, manufacturing workshops, test rigs and prototyping spaces. Naming these environments in a brochure is not enough; investigate learner access, time, equipment, supervision and real student work.
Design a small load-bearing part using card, fasteners or simple CAD; observe how it fails and build a second version.
“Does this programme have jobs?” is insufficient on its own.
“Which tasks will I perform, with which tools, in what environment and with what evidence?”
| Programme | Degree | Status |
|---|---|---|
| Mechanical Engineering | Bachelor's | Detailed profile |
| Mechatronics Engineering | Bachelor's | Detailed profile |
| Automotive Engineering | Bachelor's | Family guide |
| Manufacturing Engineering | Bachelor's | Family guide |
| Metallurgical and Materials Engineering | Bachelor's | Family guide |
| Naval Architecture and Marine Engineering | Bachelor's | Family guide |
| Aeronautical Engineering | Bachelor's | Family guide |
| Astronautical Engineering | Bachelor's | Family guide |
| Mechanical Drawing and Construction | Associate | Family guide |
| Welding Technology | Associate | Family guide |
Review content and prerequisites, not only course titles.
Does the programme produce code, reports, prototypes, clinical care, designs, field data or legal analysis?
Verify programme accreditation, practical hours and student work.
Could a different degree or associate route lead to similar tasks?
Programmes differ according to which part of a physical system they centre: energy conversion, motion and forces, material behaviour, manufacturing processes, electronic control or vehicle systems. Different programmes can hold different responsibilities for the same product.
In comparisons, look beyond the name of the CAD package and examine how design reaches manufacturing. Do learners specify tolerances, justify materials, test prototypes, record failure modes and discuss safety factors?
Generative AI can propose drawings and optimisation options. Real loads, material properties, manufacturing constraints, maintenance and safety verification remain engineering responsibilities.
Add three universities to one decision file. For each, record first-two-year courses, practical hours, student work, programme accreditation, teaching language and total living cost in the same table. Do not punish unknown information with a low score; mark it 'to be verified'.
Return to this family whenever a new mini trial is completed, YÖK or ÖSYM data changes, a university curriculum changes, or new evidence emerges about the learner's preferred work environment.
Evidence combining curriculum, practice environment and graduates' real tasks.
Courses, language, electives, placements and quality assurance can differ among universities.
Whether the specific programme—not merely the institution—is accredited and for what period.
Whether interest persists when facing the field's real mode of thinking and production.
As a historical reference alongside the current guide, not as a placement guarantee.
Do not evaluate this family only by reading about it. Use a four-week investigation to encounter real modes of work such as design, material selection, prototyping, measurement and failure analysis. The aim is not to choose a programme in one month, but to observe how curiosity, patience and willingness to learn change during authentic tasks.
In Week 1 compare first-year curricula from two programmes. For every course, note the question it addresses, prior knowledge and assessment form. In Week 2 complete the family's mini trial and record whether a product is manufacturable and safe. In Week 3 review a student project or practical report; look beyond the result to method, testing and feedback.
In Week 4 move to occupational tasks. From at least three current occupational profiles or task descriptions, extract recurring tools, outputs, communication responsibilities and the cost of error. Decide whether the relationship between programme title and task is direct, indirect or dependent on additional specialisation.
Close the month with three sentences: Which mode of production attracted me most? Which task was more difficult than expected? What course, project, observation or expert conversation would provide the next piece of evidence? A changed answer is not failure; it shows that the research worked.
At the end of every research session, create a five-line record: date, source used, new information, remaining unknown and next action. This prevents an old guide, outdated university page or unverified social-media comment from entering the decision file unnoticed.
When information changes, do not delete the earlier record. Add the new source and change date beside it. This version history is particularly important for quotas, teaching language, curricula, accreditation, placements and costs.
Before the final decision, the learner, parent and—where useful—teacher should read the same file separately. Each person writes one sentence on the strongest evidence, largest uncertainty and non-negotiable condition. Different answers are not failure; they reveal decision points that require discussion.