Course Survey summary (Embedded Systems and IoT)

Pre-Course Survey Summary (108 Students):

Familiarity with Embedded Systems and IoT:
Majority had basic to moderate knowledge, with a few having advanced proficiency and some with no familiarity.
Formal Training:
A significant portion of students had not received any formal training or education in these areas.
Expectations:
Students were looking to gain a comprehensive understanding of Embedded Systems and IoT, hands-on skills in programming, insights into implementation, and preparation for leadership roles.
Impact on Career:
Students anticipated that knowledge in these fields would lead to enhanced job opportunities, skill advancement, and leadership roles in technological transformation.
Comfort with Technology:
The comfort level varied, with a general trend towards moderate to very comfortable in using technology and software tools.
Focus Areas:
Interests were broad, including robotics, data analytics, cybersecurity, and process optimization.
Anticipated Challenges:
Concerns were raised about technical complexity, applying theory to practical situations, keeping up with rapid advancements, and integrating interdisciplinary knowledge.

Post-Course Survey Summary (130 students):

Familiarity with Embedded Systems and IoT:
Post-course responses indicated an overall increase in familiarity, with most students reporting moderate to advanced proficiency.
Course Content Satisfaction:
The majority rated the course content positively, stating it met or exceeded expectations.
Valuable Skills and Knowledge:
Skills in advanced automation technologies, data analytics, cybersecurity, and IoT integration were found most valuable.
Career Preparation:
Students felt significantly to thoroughly prepared for career opportunities related to the subject.
Confidence in Applying Concepts:
Confidence levels were generally high, with students feeling somewhat to very confident in applying what they learned.
Encountered Challenges:
Some students still struggled with technical complexity and the application of theory, but fewer reported significant challenges.
Overall Course Quality:
The overall quality of the course was rated highly, with commendations on teaching methods, course materials, and support.
Recommendations:
A strong majority would recommend the course to others, though some had reservations.
Suggestions for Improvement:
Recommendations included enhancing practical components, updating materials, improving instructor engagement, and expanding the curriculum.
Additional Feedback:
Many appreciated the comprehensive coverage and structure, though some suggested a need for deeper exploration of complex topics.