|
Course Code and Number |
BMIE 324 |
|
Course Name |
Introduction to Mechanics and Biomaterials and their Applications in Biomedical Engineering |
|
Credit Hours |
3 |
|
Pre-requisites |
CPE 310 |
|
Status |
Required |
|
Course Coordinator |
Sami F. Almashaqbeh |
|
Course Description |
This course aims to cover the introduction to Biomechanics, Fundamentals of statics, mechanical properties of materials and its applications on biological tissues, fluid mechanics and its biological applications, Viscoelasticity. The fundamental principles of biomaterials. |
|
Course Code and Number |
BMIE 350 |
|
Course Name |
Applied Programming for Computational Biology |
|
Credit Hours |
3 |
|
Pre-requisites |
CPE 150 |
|
Status |
Required |
|
Course Coordinator |
Anas Abu-Doleh |
|
Course Description |
This course aims to introduce UNIX operating system architecture and administrations, UNIX file and directory management permission, UNIX-Environment, pipelines, processes management, regular expressions, SED and AWK scripting languages should be introduced, in addition, to use UNIX commands in biomedical informatics applications. |
|
Course Code and Number |
BMIE 352 |
|
Course Name |
Introduction to Molecular Biology and Biochemistry |
|
Credit Hours |
3 |
|
Pre-requisites |
BIO 108 |
|
Status |
Required |
|
Course Coordinator |
Ahmad M. Al-Omari |
|
Course Description |
This course aims to cover essential aspects of biochemistry and molecular biology. Topics include the chemical foundations of life, the structure and function of biological molecules, list of biotechnology tools and genetic Engineering, gene expression-transcription, translation, and regulation, biomembranes and transmembrane transport, metabolism and cellular energetics, and signal transduction, RNA classifications and biosynthesis. |
|
Course Code and Number |
BMIE 388 |
|
Course Name |
Biomedical Informatics Project Management |
|
Credit Hours |
3 |
|
Pre-requisites |
CPE 150 |
|
Status |
Required |
|
Course Coordinator |
Lina Al-Ebbini |
|
Course Description |
This is an undergraduate level course providing a comprehensive foundation for project management as it applies to healthcare. Students will be introduced to the theory and concepts of project management and the tools to manage projects with a specific focus on health information technology. At the end of this course, students should be able to develop, execute, and control a basic project plan that is capable of supporting organizational objectives linked to measures of success for a single project. |
|
Course Code and Number |
BMIE 402 |
|
Course Name |
Electronic Patient Records |
|
Credit Hours |
3 |
|
Pre-requisites |
BMIE 388 |
|
Status |
Required |
|
Course Coordinator |
Anas Abu-Doleh |
|
Course Description |
This course aims to introduce the functionality, design, and use of Electronic Patient Records (EPRs), the technical infrastructure required for EPRs, how EPRs change healthcare delivery workflows and how to manage that change, and best-practices for deploying EPRs including project management. |
|
Course Code and Number |
BMIE 430 |
|
Course Name |
Bioinformatics 1 |
|
Credit Hours |
3 |
|
Pre-requisites |
BMIE 352 |
|
Status |
Required |
|
Course Coordinator |
Shefaa M. Tawalbeh |
|
Course Description |
Introduction to bioinformatics, definition, scope, and related disciples. Pairwise sequence alignment methods. Derivation and utility of scoring matrices, PAM and BLOSUM. Explain global and local alignment algorithms. Statistical significance of pairwise alignment. Use bioinformatics online resources to perform sequence alignment for DNA and protein. Sequence database search focusing on BLAST and FASTA. The use of Markov and hidden Markov models to solve bioinformatics problems, such as predicting coding and noncoding regions in DNA sequences. Gene ontology and identification of molecular pathways. |
|
Course Code and Number |
BMIE 431 |
|
Course Name |
Bioinformatics Lab 1 |
|
Credit Hours |
1 |
|
Pre-requisites |
BMIE 430 |
|
Status |
Required |
|
Course Coordinator |
Ahmad Al-Omari |
|
Course Description |
This lab emphasizes the hands-on application of bioinformatics methods to biological problems. Students will gain experience in the application of existing software, as well as in combining approaches to answer specific biological questions. Sequence alignment, fast database search, profiles and motifs, comparative genomics, gene finding, phylogenetic trees, protein structure, functional characterization of proteins, expression analysis, and computational proteomics. |
|
Course Code and Number |
BMIE 432 |
|
Course Name |
Statistical Methods in Bioinformatics I |
|
Credit Hours |
3 |
|
Pre-requisites |
STAT 203 and BME 430 |
|
Status |
Required |
|
Course Coordinator |
Ahmad Al-Omari |
|
Course Description |
This course aims to explain statistical concepts for bioinformatics that are introduced in the context of analysis of biological data. Statistical topics include probability distributions, random variables, sampling distributions, conditional and joint probability, hypothesis testing. These are applied in analysis of shotgun sequencing, DNA pattern analysis, contigs, sequence comparison, microarray analysis and other topics. |
|
Course Code and Number |
BMIE 435 |
|
Course Name |
Computer Applications in Bioinformatics Lab |
|
Credit Hours |
1 |
|
Pre-requisites |
BMIE 430 and BMIE 350 |
|
Status |
Required |
|
Course Coordinator |
Anas Abu-Doleh |
|
Course Description |
This lab aims to introduce biomedical informatics UNIX based applications such as retrieving and processing biomedical data, Computerized Patient Record System such as VistA Healthcare system and HL7 essentials. |
|
Course Code and Number |
BMIE 440 |
|
Course Name |
Electronic Health Systems |
|
Credit Hours |
3 |
|
Pre-requisites |
BMIE 388 |
|
Status |
Required |
|
Course Coordinator |
Lina Al-Ebbini |
|
Course Description |
Introduction to health informatics describes the health information systems and key issues in managing this information effectively, such as data standards, common functions, decision support, meaningful use, health information exchange, privacy and security. Tele-communication, tele-surgery, and tele-consultation systems and their use in supporting medical decisions. Design and use computer and telecommunications systems to promote best practices and provide quality health care. Designing a technology-based approach to one or more health care problems. |
|
Course Code and Number |
BMIE 452 |
|
Course Name |
Bioinformatics Algorithms and its Applications |
|
Credit Hours |
3 |
|
Pre-requisites |
CPE 352 and BMIE 352 |
|
Status |
Required |
|
Course Coordinator |
Anas Abu-Doleh |
|
Course Description |
This course aims to apply algorithms to computational problems in molecular biology. Topics are drawn from such areas as classical sequence comparison, multiple sequence alignment, DNA sequence assembly, genome rearrangement, dynamic programming, Divide-and-conquer, Graph algorithms, Pattern matching, Clustering. |
|
Course Code and Number |
BMIE 453 |
|
Course Name |
Bioinformatics Algorithms and its Applications Lab |
|
Credit Hours |
1 |
|
Pre-requisites |
BMIE 452 |
|
Status |
Required |
|
Course Coordinator |
Anas Abu-Doleh |
|
Course Description |
This lab aims to implement C++ based algorithms for solving problems in biological sequence indexing, retrieving, comparison, finding similarity, sequence alignment using recursive and iterative algorithms, dynamic programming algorithms and graph algorithms. |
|
Course Code and Number |
BMIE 455 |
|
Course Name |
Database Systems Lab |
|
Credit Hours |
1 |
|
Pre-requisites |
CPE 454 |
|
Status |
Required |
|
Course Coordinator |
Ahmad M. Al-Omari |
|
Course Description |
This lab aims to introduce databases as an essential component in every information system regardless of the field or business you are in (biology, medicine, marketing, operations, etc.). Students should be able to use SQL server or Oracle server, design ER diagrams and databases, and write SQL /Oracle queries that are related to different problems. Students should do a project related to the database such as using ASP.NET/ C#. |
|
Course Code and Number |
BMIE 498 |
|
Course Name |
Graduation Project 1 |
|
Credit Hours |
1 |
|
Pre-requisites |
Passing 120 CR + ELE 205 |
|
Status |
Required |
|
Course Coordinator |
Chairman |
|
Course Description |
Theoretical investigation and practical implementation of special projects under the supervision of an academic member of the faculty. |
|
Course Code and Number |
BMIE 500 |
|
Course Name |
Field Training |
|
Credit Hours |
6 |
|
Pre-requisites |
Passing 120 CR |
|
Status |
Required |
|
Course Coordinator |
Chairman |
|
Course Description |
Four months training period provides students with practical experience in their field. Students are introduced to and gain practical experience in several state-of-the-art techniques/methodologies. Internships may take place in industrial, commercial institutes, hospitals, or university incubators. |
|
Course Code and Number |
BMIE 530 |
|
Course Name |
Bioinformatics 2 |
|
Credit Hours |
3 |
|
Pre-requisites |
BMIE 430 |
|
Status |
Required |
|
Course Coordinator |
Ahmad Al-Omari |
|
Course Description |
This course aims to explain computational gene finding, Prediction of transcription regulatory binding sites, Protein structure prediction, Non-coding RNA structures, Functional prediction of proteins, Comparative genome analysis, Prediction of microbial regulatory networks. |
|
Course Code and Number |
BMIE 532 |
|
Course Name |
Design and Management of Healthcare Systems |
|
Credit Hours |
2 |
|
Pre-requisites |
BMIE 350 |
|
Status |
Required |
|
Course Coordinator |
Anas Abu-Doleh |
|
Course Description |
This course aims to explain the principles of health information management. How health care institutions are organized and governed, the role of the management staff, physicians, nurses, and other clinical and support staff in these organizations. Acquisition and maintenance of health care data. Basic knowledge in the areas of patient records, indices, registers. Computerization and information systems in the health information management department and basic concepts in health care statistics and data analytics. |
|
Course Code and Number |
BMIE 533 |
|
Course Name |
Data Mining and Machine learning in Bioinformatics |
|
Credit Hours |
3 |
|
Pre-requisites |
CPE 454 and BMIE 430 |
|
Status |
Elective |
|
Course Coordinator |
Ahmad Al-Omari |
|
Course Description |
This course aims to introduce data mining and different operations that are applied to data mining, the course focuses on the principle of machine learning. Special interest applied to Neural Networks. Topics covered, introduction to data mining, basic data mining algorithms, supervised and unsupervised classifications, association rule mining, Neural Network, and the math behind all of that. |
|
Course Code and Number |
BMIE 534 |
|
Course Name |
Computational Biology |
|
Credit Hours |
3 |
|
Pre-requisites |
BMIE 430 |
|
Status |
Elective |
|
Course Coordinator |
Ahmad Al-Omari |
|
Course Description |
This course aims to explain numerical methods and computational modeling that focuses on modeling and analysis of biological systems. Modeling of regulatory genetic networks. Examples will be discussed from chemistry and systems biology using numerical methods. |
|
Course Code and Number |
BMIE 536 |
|
Course Name |
Health Computing Systems |
|
Credit Hours |
3 |
|
Pre-requisites |
BMIE 350 |
|
Status |
Elective |
|
Course Coordinator |
Anas Abu-Doleh |
|
Course Description |
This course aims to describe the principles of computer technologies used in design and implementation of healthcare computing systems. The course explains the main components of the health computing systems and information systems such as clinical data storage and retrieval, workflows, health information interoperability, interfacing and communicating among multiple information systems, distributed systems and health information management systems. In addition, this course covers issues related to the availability of advanced hardware and computing resources as a key factor in the design and development of modern health computing systems. |
|
Course Code and Number |
BMIE 540 |
|
Course Name |
Network in Health Care Systems |
|
Credit Hours |
3 |
|
Pre-requisites |
BMIE 440 |
|
Status |
Required |
|
Course Coordinator |
Shefa Tawalbeh |
|
Course Description |
This course aims to introduce network concepts in the healthcare environment with focus on data communications, signals, computer network and software. Explore signal modulation and encoding techniques fundamental, and communication signal problems and solutions. Explore network topology, protocols, and operation of various network hardware and software. Interface database, biomedical equipment, and applications (HL7 and DICOM). Explore emerging technologies for application healthcare delivery. Study the rules of creating reliable computer networks. |
|
Course Code and Number |
BMIE 542 |
|
Course Name |
Safety and Security of Health Information Systems |
|
Credit Hours |
2 |
|
Pre-requisites |
BMIE 440 |
|
Status |
Required |
|
Course Coordinator |
Lina Al-Ebbini |
|
Course Description |
Extensive study of established safety standards, ensuring proper patient, personal, and environmental safety. Inclusive are requirements for testing, monitoring, and recording safety procedures subsequent to governmental and industry medical standards. Comprehensive overview of the security, privacy and intrusion detection of health care networks. Health care network Defense and Countermeasures. Health care network encryption crypto-graphical methods, electronic signature, and authentication tools. Recent trends in safety and security of the health information system. |
|
Course Code and Number |
BMIE 558 |
|
Course Name |
Advanced Bioinformatics Programming |
|
Credit Hours |
3 |
|
Pre-requisites |
BMIE 452 |
|
Status |
Elective |
|
Course Coordinator |
Ahmad Al-Omari |
|
Course Description |
This course aims to explain advanced algorithms in bioinformatics with an emphasis placed on the implementation of bioinformatics algorithms in the context of parallel processing. Topics covered depend on instructor expertise and student interest, including harnessing the computing power of large numbers of processors working in parallel using GPGPUs/CUDA or MPI and other parallel programming languages, applying parallelization of the genetic network, assembly of short-read fragments from next-generation sequencing platforms, clustering algorithms, machine learning, development of multi-threaded applications, developing for multi-core processors and utilization of large clusters and cloud supercomputers. Students are expected to complete a significant independent project. |
|
Course Code and Number |
BMIE 598 |
|
Course Name |
Graduation Project 2 |
|
Credit Hours |
3 |
|
Pre-requisites |
BMIE 498 |
|
Status |
Required |
|
Course Coordinator |
Chairman |
|
Course Description |
Theoretical investigation and practical implementation of special projects under the supervision of an academic member of the faculty. |
