180,917 research outputs found

    Effective approach in making Capstone project a holistic learning experience to students of undergraduate computer science engineering program

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    Final year or Capstone Project is the final and important phase of the undergraduate curriculum in a Computer Science Engineering program. Final year project is a course where all the skills learnt by the students in the course are applied and evaluated. The important aspects in the delivery of this course are (i) developing a model to train the students to deliver quality project work and documentation, (ii) effective evaluation of the student based on rubrics which are mapped to the course outcomes (iii) Calculate program outcome and course outcome attainment and make necessary changes to improve the delivery of the course (iv) Map the feedback from stakeholders as per graduate attributes and measure performance. This paper discusses the approach followed for three academic years 2014-2017 on a batch of 180 students per year. Training sessions, evaluation rubrics, usage of project management tools, mapping performance of the students with the outcomes of the course and program, feedback from the stakeholders like companies and students themselves gives a clear view of improvement of the performance of the students during the Final Year Project course in three yearsPeer Reviewe

    Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark

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    We provide a new multi-task benchmark for evaluating text-to-image models. We perform a human evaluation comparing the most common open-source (Stable Diffusion) and commercial (DALL-E 2) models. Twenty computer science AI graduate students evaluated the two models, on three tasks, at three difficulty levels, across ten prompts each, providing 3,600 ratings. Text-to-image generation has seen rapid progress to the point that many recent models have demonstrated their ability to create realistic high-resolution images for various prompts. However, current text-to-image methods and the broader body of research in vision-language understanding still struggle with intricate text prompts that contain many objects with multiple attributes and relationships. We introduce a new text-to-image benchmark that contains a suite of thirty-two tasks over multiple applications that capture a model's ability to handle different features of a text prompt. For example, asking a model to generate a varying number of the same object to measure its ability to count or providing a text prompt with several objects that each have a different attribute to identify its ability to match objects and attributes correctly. Rather than subjectively evaluating text-to-image results on a set of prompts, our new multi-task benchmark consists of challenge tasks at three difficulty levels (easy, medium, and hard) and human ratings for each generated image.Comment: NeurIPS 2022 Workshop on Human Evaluation of Generative Models (HEGM

    Effective approach in making Capstone project a holistic learning experience to students of undergraduate computer science engineering program

    Get PDF
    Final year or Capstone Project is an important and final phase of the undergraduate curriculum in Computer Science Engineering program. Final year project is a course where all the skills learnt by the students in previous semesters are applied and evaluated. The important aspects in the delivery of course are i) developing a model to train the students to deliver quality project work and documentation, ii) effective evaluation of the student based on rubrics which are mapped to course outcomes iii) Map the feedback from stakeholders as per graduate attributes and measure performance. This paper discusses the approach followed for three academic years 2014-2017 on a batch of 250 students per year. Training sessions, evaluation rubrics, usage of project management tools, mapping of their performance with the outcomes of the course and program, feedback from the stakeholders like companies and students themselves gives a clear view of improvement of the performance of the students after the Final Year Project course in three years

    Intelligence student advising system - an implementation using object-oriented C++

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    This paper present an approach for developing a consistent student course-advising system for undergraduate students using knowledge-based technology. A prototype system has been implemented in object-oriented technique using C++. The prototype system was designed for undergraduate Computing students. The prototype is able to give consultation and advice on some important aspect of student advising problems. Knowledgeable behaviour was produced where the ‘expert’ and ‘knowledge’ is stored separately from the inference engine. Object-oriented programming technique was found to enhance the development of the system
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