Amanote Research
Register
Sign In
Identifying Microbes From Environment Water Samples in a Discovery-Based Learning Module
doi 10.7287/peerj.preprints.399v3
Full Text
Open PDF
Abstract
Available in
full text
Date
September 12, 2016
Authors
Wenfa Ng
Publisher
PeerJ
Related search
Identifying Microbes From Environmental Water Samples in a Discovery-Based Learning Module
Discovery Learning Based E-Module on Protein Material Development
A Network Module-Based Method for Identifying Cancer Prognostic Signatures
Genome Biology
Identifying Structured Light Modes in a Desert Environment Using Machine Learning Algorithms
Optics Express
Optics
Atomic
Molecular Physics,
Recovery of Diverse Microbes in High Turbidity Surface Water Samples Using Dead-End Ultrafiltration
Journal of Microbiological Methods
Microbiology
Molecular Biology
Community-Based Project Module: A Service-Learning Module for the Faculty of Engineering, Built Environment and Information Technology at the University of Pretoria
International Journal for Service Learning in Engineering, Humanitarian Engineering and Social Entrepreneurship
Identifying PV Module Mismatch Faults by a Thermography-Based Temperature Distribution Analysis
IEEE Transactions on Device and Materials Reliability
Electronic Engineering
Risk
Electronic
Optical
Reliability
Electrical
Magnetic Materials
Safety
Quality
An Increase in Learning Outcome Students Is Through the Development of Archive E-Module Based on the Flipbook With Discovery Learning Model
Jurnal Pendidikan Bisnis dan Manajemen
Development of Care Learning E-Module for Discovery Learning Based on Students of Makeup Studies Education Program, Medan State University