Browsing by Author "Chowdhury, Md. Syeed"

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Prediction of UTR5’, CDS AND UTR3’ Splice sites in an unknown DNA sequence
(BRAC University, 2014-01) Chaki, Dipankar; Roushan, Tanvir; Chowdhury, Md. Syeed; Ali, Abu Mohammad Hammad
The recent flood of data from genome sequences and functional genomics has given rise to a new field, bioinformatics, which combines elements of biology and computer science. In experimental molecular biology, bioinformatics techniques such as image and signal processing allow extraction of useful results from large amounts of raw data. In the field of genetics and genomics, it aids in sequencing and annotating genomes. Given a biological sequence, such as a Deoxyribonucleic acid (DNA) sequence, biologists would like to analyze what that sequence represents. A challenging and interesting problem in computational biology at the moment is finding genes in DNA sequences. With so many genomes being sequenced rapidly, it remains important to begin by identifying genes computationally. A DNA sequence consists of four nucleotide bases. There are two untranslated regions UTR5’ and UTR3’, which is not translated during the process of translation. The nucleotide base pair between UTR5’ and UTR3’ is known as the code section (CDS). Our goal is to find and develop a way to determine a likelihood value (using hidden Markov model), based on which the joining sections of these three regions can by identified in any given sequence.
University course advising: overcoming the challenges using decision support system
(© 2014 Institute of Electrical and Electronics Engineers Inc., 2014-12) Roushan, Tanvir; Chaki, Dipankar; Hasdak, Onishim; Chowdhury, Md. Syeed; Rasel, Annajiat Alim; Rahman, M. Abdur; Arif, Hossain
Universities require a fast and reliable system to provide academic advising to its students, register them into different courses, and to manage change requests. Currently in Bangladesh, academic advising is done mostly on paper, as seen in many of the public and private universities. In this paper, we propose a unique online-based system that would make the university course advising and registration process easier and intelligent. The proposed online tool will work very closely and interdependently with each educational institution's own course curriculum, grading system, and university policies. The intention of this paper is to find key challenges in the system and to evaluate the efficiency of an easy-to-read web-based course advising and decision support tool. The tool expedites the academic advising process. It acts as an online advisor for the students, eases the task and save time of the advisors by automation of redundant tasks and reducing paper work. The recommended advising software through its decision support system aids both students and teachers with unique facilities. It also provides additional time for advisors to focus on students' development.
University course advising: overcoming the challenges using decision support system
(© 2014 Institute of Electrical and Electronics Engineers Inc., 2014-12) Roushan, Tanvir; Chaki, Dipankar; Hasdak, Onishim; Chowdhury, Md. Syeed; Rasel, Annajiat Alim; Rahman, M. Abdur; Arif, Hossain
Universities require a fast and reliable system to provide academic advising to its students, register them into different courses, and to manage change requests. Currently in Bangladesh, academic advising is done mostly on paper, as seen in many of the public and private universities. In this paper, we propose a unique online-based system that would make the university course advising and registration process easier and intelligent. The proposed online tool will work very closely and interdependently with each educational institution's own course curriculum, grading system, and university policies. The intention of this paper is to find key challenges in the system and to evaluate the efficiency of an easy-to-read web-based course advising and decision support tool. The tool expedites the academic advising process. It acts as an online advisor for the students, eases the task and save time of the advisors by automation of redundant tasks and reducing paper work. The recommended advising software through its decision support system aids both students and teachers with unique facilities. It also provides additional time for advisors to focus on students' development.
University course advising: overcoming the challenges using decision support system
(© 2014 Institute of Electrical and Electronics Engineers Inc., 2014-12) Roushan, Tanvir; Chaki, Dipankar; Hasdak, Onishim; Chowdhury, Md. Syeed; Rasel, Annajiat Alim; Rahman, M. Abdur; Arif, Hossain
Universities require a fast and reliable system to provide academic advising to its students, register them into different courses, and to manage change requests. Currently in Bangladesh, academic advising is done mostly on paper, as seen in many of the public and private universities. In this paper, we propose a unique online-based system that would make the university course advising and registration process easier and intelligent. The proposed online tool will work very closely and interdependently with each educational institution's own course curriculum, grading system, and university policies. The intention of this paper is to find key challenges in the system and to evaluate the efficiency of an easy-to-read web-based course advising and decision support tool. The tool expedites the academic advising process. It acts as an online advisor for the students, eases the task and save time of the advisors by automation of redundant tasks and reducing paper work. The recommended advising software through its decision support system aids both students and teachers with unique facilities. It also provides additional time for advisors to focus on students' development.
University course advising: overcoming the challenges using decision support system
(© 2014 Institute of Electrical and Electronics Engineers Inc., 2014-12) Roushan, Tanvir; Chaki, Dipankar; Hasdak, Onishim; Chowdhury, Md. Syeed; Rasel, Annajiat Alim; Rahman, M. Abdur; Arif, Hossain
Universities require a fast and reliable system to provide academic advising to its students, register them into different courses, and to manage change requests. Currently in Bangladesh, academic advising is done mostly on paper, as seen in many of the public and private universities. In this paper, we propose a unique online-based system that would make the university course advising and registration process easier and intelligent. The proposed online tool will work very closely and interdependently with each educational institution's own course curriculum, grading system, and university policies. The intention of this paper is to find key challenges in the system and to evaluate the efficiency of an easy-to-read web-based course advising and decision support tool. The tool expedites the academic advising process. It acts as an online advisor for the students, eases the task and save time of the advisors by automation of redundant tasks and reducing paper work. The recommended advising software through its decision support system aids both students and teachers with unique facilities. It also provides additional time for advisors to focus on students' development.
University course advising: overcoming the challenges using decision support system
(© 2014 Institute of Electrical and Electronics Engineers Inc., 2014-12) Roushan, Tanvir; Chaki, Dipankar; Hasdak, Onishim; Chowdhury, Md. Syeed; Rasel, Annajiat Alim; Rahman, M. Abdur; Arif, Hossain
Universities require a fast and reliable system to provide academic advising to its students, register them into different courses, and to manage change requests. Currently in Bangladesh, academic advising is done mostly on paper, as seen in many of the public and private universities. In this paper, we propose a unique online-based system that would make the university course advising and registration process easier and intelligent. The proposed online tool will work very closely and interdependently with each educational institution's own course curriculum, grading system, and university policies. The intention of this paper is to find key challenges in the system and to evaluate the efficiency of an easy-to-read web-based course advising and decision support tool. The tool expedites the academic advising process. It acts as an online advisor for the students, eases the task and save time of the advisors by automation of redundant tasks and reducing paper work. The recommended advising software through its decision support system aids both students and teachers with unique facilities. It also provides additional time for advisors to focus on students' development.