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Research Purpose The concept of strategic thinking is vague in the previous literature, and we lack an understanding of what strategic thinking is. The purpose of this thesis is to contribute towards the understanding of the cognitive elements or components in strategic thinking. To fulfil this purpose, we aim to collect survey and interview data from students studying Computer Science and Engineering at Lund University, and professionals with corresponding majors with several years’ work experience in industries. Research Questions 1. What cognitive elements are identifiable in the explanations of strategic thinking of students studying Computer Science and Engineering? 2. What cognitive elements are identifiable in the explanations of strategic thinking of professionals with a similar educational background with the students? 3. Are there any similarities or differences between the cognitive elements that identified in students and professionals? Methodology This study is based on a combination of deductive and inductive approach. Further, this multi-method study involves survey, interview and a computerised text analysis tool- Pertex. In the first step, students studying Computer Science and Engineering and professionals with corresponding majors were asked to write a text about strategic thinking process that leads to an important decision in the uncertain situation. The participants’ texts were analysed by Pertex. Afterwards, structured interviews including general and specific questions were conducted among those participants. The interview data were analysed by content. Findings For students studying Computer Science and Engineering, analytical, creative elements as well as a new element - iterative are identifiable in their explanations of strategic thinking. Reflective and integrative elements were ranked the most important elements in strategic thinking as the analytical element in interview question two, but were not identified in students’ Pertex and int

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.

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.

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.

Research Purpose The concept of strategic thinking is vague in the previous literature, and we lack an understanding of what strategic thinking is. The purpose of this thesis is to contribute towards the understanding of the cognitive elements or components in strategic thinking. To fulfil this purpose, we aim to collect survey and interview data from students studying Computer Science and Engineering at Lund University, and professionals with corresponding majors with several years’ work experience in industries. Research Questions 1. What cognitive elements are identifiable in the explanations of strategic thinking of students studying Computer Science and Engineering? 2. What cognitive elements are identifiable in the explanations of strategic thinking of professionals with a similar educational background with the students? 3. Are there any similarities or differences between the cognitive elements that identified in students and professionals? Methodology This study is based on a combination of deductive and inductive approach. Further, this multi-method study involves survey, interview and a computerised text analysis tool- Pertex. In the first step, students studying Computer Science and Engineering and professionals with corresponding majors were asked to write a text about strategic thinking process that leads to an important decision in the uncertain situation. The participants’ texts were analysed by Pertex. Afterwards, structured interviews including general and specific questions were conducted among those participants. The interview data were analysed by content. Findings For students studying Computer Science and Engineering, analytical, creative elements as well as a new element - iterative are identifiable in their explanations of strategic thinking. Reflective and integrative elements were ranked the most important elements in strategic thinking as the analytical element in interview question two, but were not identified in students’ Pertex and int

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 years, Peer Reviewed

Tracking of moving objects in video sequences are essential for many computer vision applications & it is considered as a challenging research issue due to dynamic changes in objects, shape, complex background, illumination changes and occlusion. Many traditional tracking algorithms fails to track the moving objects in real-time, this paper proposes a robust method to overcome the issue, based on the combination of particle filter and Principal Component Analysis (PCA), which predicts the position of the object in the image sequences using stable wavelet features, which in turn are extracted from multi scale 2-D discrete wavelet transform. Later, PCA approach is used to construct the effective subspace. Similarity degree between the object model and the prediction obtained from particle filter is used to update the feature vector to handle occlusion and complex background in video frames. Experimental results obtained from the proposed method are encouraging.

At UCLA, the Center for Embedded Network Sensing (CENS) in the School of Engineering received NSF funding for a unique project titled: Women @ CENS, created to explore issues of gender equity in engineering and computer science (ECS) undergraduate research internship programs. The Women @ CENS project includes two studies: 1) an evaluation of our own CENS REU program and 2) a national study of REUs in ECS. The goals of these studies were to learn about promising practices in addressing gender equity in the REU setting from our own summer internship program, and to learn about what other REUs were doing in regards to promoting gender equity such that more women will choose to pursue advanced degrees and faculty careers in ECS. Study One utilizes the evaluation of the CENS REU over four program years to understand what has and has not worked for our female students in particular. For Study Two, we surveyed program directors of NSF funded Computer Science and Engineering REUs nationwide about espoused program goals, practices, participant demographics, and in particular, specific efforts designed to address gender inequity in these fields.

At UCLA, the Center for Embedded Network Sensing (CENS) in the School of Engineering received NSF funding for a unique project titled: Women @ CENS, created to explore issues of gender equity in engineering and computer science (ECS) undergraduate research internship programs. The Women @ CENS project includes two studies: 1) an evaluation of our own CENS REU program and 2) a national study of REUs in ECS. The goals of these studies were to learn about promising practices in addressing gender equity in the REU setting from our own summer internship program, and to learn about what other REUs were doing in regards to promoting gender equity such that more women will choose to pursue advanced degrees and faculty careers in ECS. Study One utilizes the evaluation of the CENS REU over four program years to understand what has and has not worked for our female students in particular. For Study Two, we surveyed program directors of NSF funded Computer Science and Engineering REUs nationwide about espoused program goals, practices, participant demographics, and in particular, specific efforts designed to address gender inequity in these fields.

In recent years, mobile communication has evolved rapidly and demand for mobile devices with new and higher quality services is increasing. The existing 3G standard, Universal Mobile Telecommunication System (UMTS), is currently being upgraded with High Speed Packet Access (HSPA) to meet current demands. However, in the longer term this will not be sufficient. The 3rd Generation Partnership Project (3GPP) has investigated the long term evolution of UMTS (LTE) to meet future demands and ensure the competitiveness of the standard. The objective is a radio access technology with higher data rates, lower latencies and optimal support for packet services such as multimedia, games and internet services. Telephony should be supported by means of Voice over IP (VoIP) with at least as good quality as circuit switched telephony. This thesis will cover the technology and architecture of LTE. The focus is on Evolved Universal Terrestrial Radio Access (E-UTRA) Layer 2 functionality and a proof of concept LTE system. The purpose is to demonstrate how user plane traffic is transferred through the system. The specifications of LTE are not yet finalized. Therefore, the implementation is based on work in progress specifications and meeting protocols from 3GPP work groups. The prototype resulted in a system capable of handling multiple user equipments with streams in both uplink and downlink. In Layer 2, the prototype has a complete implementation of user plane data transfer in unacknowledged mode, featuring segmentation, concatenation and multiplexing. The prototype also supports retransmissions and basic scheduling., Validerat; 20101217 (root)

satellite image data

optimum area utilization in ASIC’s

Information technology

Aartificial neural nets