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Showing 1 to 15 of 22 results Save | Export
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Mohammad Heshmati; W. David Purvis – Chemical Engineering Education, 2024
Three real-world datasets are introduced for a petroleum engineering capstone design course, providing detailed problem statements, assessment criteria, team-building practices, and required software packages. Two surveys reveal that students prefer real datasets over synthetic ones, and despite initial challenges, students feel proud of their…
Descriptors: Chemical Engineering, Engineering Education, Fuels, Capstone Experiences
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Hong, Moo Sun; Sun, Weike; Anthony, Brian W.; Braatz, Richard D. – Chemical Engineering Education, 2022
This article describes experiences with teaching process data analytics and machine learning, including in: (1) a joint undergraduate/graduate course for students in chemical and mechanical engineering and engineering management; and (2) an undergraduate chemical engineering concentration in process data analytics. The article also describes…
Descriptors: Teaching Methods, Graduate Students, Undergraduate Students, Chemical Engineering
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Scalfani, Vincent F.; Ralph, Serena C.; Al Alshaikh, Ali; Bara, Jason E. – Chemical Engineering Education, 2020
MATLAB live scripts are useful for reproducible programmatic compilation of chemical data and literature. In this article, we use a combination of the PubChem PUG REST Application Programming Interface (API), Structured Data Query (SDQ) agent, and text extraction with MATLAB live scripts that allow programmatic PubChem similarity searching, SMARTS…
Descriptors: Chemical Engineering, Engineering Education, Computer Software, Teaching Methods
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Koretsky, Milo – Chemical Engineering Education, 2018
This profile describes the AIChE Concept Warehouse (CW) website, a community developed, web-based tool to decrease instructional barriers and to help faculty implement concept-based active learning in class. The CW provides three distinct but complementary functions: (a) a content repository, (b) an audience response system and learning management…
Descriptors: Active Learning, Web Sites, Concept Formation, Audience Response Systems
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Rollins, Derrick, Sr. – Chemical Engineering Education, 2017
Statistical inference simply means to draw a conclusion based on information that comes from data. Error bars are the most commonly used tool for data analysis and inference in chemical engineering data studies. This work demonstrates, using common types of data collection studies, the importance of specifying the statistical model for sound…
Descriptors: Data Analysis, Statistical Inference, Chemical Engineering, Models
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Farrell, Stephanie; Vernengo, Jennifer – Chemical Engineering Education, 2012
This paper describes a simple, cost-effective experiment which introduces students to drug delivery and modeling using alginate beads. Students produce calcium alginate beads loaded with drug and measure the rate of release from the beads for systems having different stir rates, geometries, extents of cross-linking, and drug molecular weight.…
Descriptors: Engineering Education, Engineering, Data Analysis, Scientific Research
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Boateng, Cyril D.; Bensah, Edem Cudjoe; Ahiekpor, Julius C. – European Journal of Engineering Education, 2012
Chemical engineers have played key roles in the growth of the chemical and allied industries in Ghana but indigenous industries that have traditionally been the domain of the informal sector need to be migrated to the formal sector through the entrepreneurship and innovation of chemical engineers. The Higher National Diploma Chemical Engineering…
Descriptors: Manufacturing Industry, Chemical Engineering, Foreign Countries, Employment Opportunities
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Vernengo, Jennifer; Purdy, Caitlin; Farrell, Stephanie – Chemical Engineering Education, 2014
This paper describes a biomedical engineering experiment that introduces students to rheology. Healthy and sickle-cell blood analogs are prepared that are composed of chitosan particles suspended in aqueous glycerol solutions, which substitute for RBCs and plasma, respectively. Students study flow properties of the blood analogs with a viscometer…
Descriptors: Science Instruction, Chemical Engineering, Scientific Concepts, Concept Formation
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Simpson, Annie E.; Evans, Greg J.; Reeve, Doug – Journal of Leadership Education, 2012
The Engineering Leaders of Tomorrow Program (LOT) is a comprehensive curricular, co-curricular, extra-curricular leadership development initiative for engineering students. LOT envisions: "an engineering education that is a life-long foundation for transformational leaders and outstanding citizens." Academic courses, co-curricular certificate…
Descriptors: Engineering Education, Leadership, Chemical Engineering, Data Analysis
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Heldt, Caryn L. – Chemical Engineering Education, 2012
Inter-group peer evaluation through wikis was implemented as a method for senior capstone design teams to improve writing and the critical evaluation of data. Each group was evaluated by peers using a qualitative discussion and evaluated quantitatively by instructors. Students had an increased interest in contributing to online knowledge centers,…
Descriptors: Lifelong Learning, Curriculum, Chemical Engineering, Peer Evaluation
Carbo, Antonio Domenech; Adelantado, Jose Vicente Gimeno; Reig, Francisco Bosch – Online Submission, 2010
Misconceptions of chemistry and chemical engineering university students concerning instrumental analysis have been established from coordinated tests, tutorial interviews and laboratory lessons. Misconceptions can be divided into: (1) formal, involving specific concepts and formulations within the general frame of chemistry; (2)…
Descriptors: Chemistry, Chemical Engineering, Misconceptions, Science Instruction
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Brenner, James R. – Chemical Engineering Education, 2007
At Florida Tech, we have incorporated DataFit from Oakdale Engineering throughout the entire curriculum, beginning with ChE 1102, an eight-week, one-day-per-week, two-hour, one-credit-hour, second-semester Introduction to Chemical Engineering course in a hands-on computer classroom. Our experience is that students retain data analysis concepts…
Descriptors: Chemical Engineering, Data Analysis, Curriculum, Introductory Courses
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Brenner, James R. – Chemical Engineering Education, 2006
The outline for half of a one-credit-hour course in analysis of chemical engineering data is presented, along with a range of typical problems encountered later on in the chemical engineering curriculum that can be used to reinforce the data analysis skills learned in the course. This mini course allows students to be exposed to a variety of ChE…
Descriptors: Chemical Engineering, Data Analysis, Skill Development, Minicourses
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Miller, Ronald L.; Ely, James F.; Baldwin, Robert M.; Olds, Barbara M. – Chemical Engineering Education (CEE), 1998
Argues that the unit operations laboratory provides an ideal setting to help chemical engineering students become better engineering practitioners. Describes a summer program at the Colorado School of Mines that incorporates experience into a unit operations laboratory. (DDR)
Descriptors: Chemical Engineering, Cognitive Processes, Concept Formation, Constructivism (Learning)
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Dickey, Michael D.; Stewart, Michael D.; Willson, C. Grant – Journal of Chemical Education, 2006
An experiment is described, which is designed for a junior-level chemical engineering "fundamentals of measurements and data analysis" course, where students are introduced to the concept of statistical process control (SPC) through a simple inline mixing experiment. The students learn how to create and analyze control charts in an effort to…
Descriptors: Science Education, Data Analysis, Chemical Engineering, Science Experiments
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