REN R 295 - Special Topics in Field Skills and Their Application in Forest Sciences

★ 1 (fi 2)(EITHER, 4 DAYS)

Focuses on specialized field skills and their application in forest sciences. The course involves off-campus field experiences. Pre- or corequisite: REN R 290. Requires payment of additional student instructional support fees. Refer to the Fees Payment Guide in the University Regulations and Information for Students section of the Calendar.

REN R 702 - Forestry Field School for Professionals

★ 1 (fi 2)(EITHER, 4 DAYS)

Focuses on specialized field skills and their application in professional forest management. The course involves off-campus field experiences. Students in the Master of Forestry program should complete this course in their first term. Pre- or co-requisite: REN R 701 or REN R 290. Not to be taken if credit received for REN R 295.

REN R 215 - Forest Measurements

★ 3 (fi 6)(SECOND, 3-0-3)

Principles and practices of measuring and estimating present and future fibre production of forest communities, including applications of statistics, sampling techniques, regression analysis, and computer programming. Prerequisites: 3 units in STAT. Pre- or corequisite: REN R 110. Requires payment of additional student instructional support fees. Refer to the Tuition and Fees page in the University Regulations section of the Calendar.

REN R 448 - Forest Growth and Yield

★ 3 (fi 6)(SECOND, 3-1S-0)

Measurement, modelling, and forecasting the future development of attributes of trees and forest stands. Tree taper, volume, and biomass estimation, recruitment, growth, yield, and survival functions, site quality estimation, and simulation modelling including linkages to forest inventory, applications of remote sensing, and reference data programs for monitoring and model development. Prerequisite: REN R 215.

REN R 548 - Forest Growth and Yield

★ 3 (fi 6)(SECOND, 3-1S-0)

Measurement, modelling, and forecasting the future development of attributes of trees and forest stands. Tree taper, volume, and biomass estimation, recruitment, growth, yield, and survival functions, site quality estimation, and simulation modelling including linkages to forest inventory, applications of remote sensing, and reference data programs for monitoring and model development. Not to be taken if credit received for REN R 448. Prerequisite: consent of instructor.